{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from operator import itemgetter\n",
    "import profile_common\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = profile_common.load_data()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\Users\\qiang.qian\\AppData\\Local\\Continuum\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    }
   ],
   "source": [
    "X,y = profile_common.prepare_data(df,['o','d'],'i',True)\n",
    "\n",
    "train_X, test_X, train_y, test_y = train_test_split(X,y, test_size=0.25, random_state=0)\n",
    "\n",
    "train_X['y_i'] = train_y\n",
    "df_train = train_X \n",
    "\n",
    "batch = profile_common.balance_batch_data(df_train,['o','d'],'i',31)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.26323490729251947)\n",
      "('o_num_nqh', 0.048986092969645879)\n",
      "('o_avg_amount_nqh', 0.048660969305761428)\n",
      "('o_create_time', 0.025753222470345154)\n",
      "('o_min_creationdate', 0.025630150137042007)\n",
      "('o_avg_amount', 0.024694920937603691)\n",
      "('o_htl_min_amount', 0.024574492564116278)\n",
      "('o_max_creationdate', 0.023941548536249035)\n",
      "('o_days_use', 0.023443804478639408)\n",
      "('o_contract_amount', 0.023081596744320667)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5810  4316\n",
      "1       2580  7266\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.57      0.63     10126\n",
      "          1       0.63      0.74      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
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I7NoFDz1k4yKqVIH334eLL/YG6yjxROGcK7DVq22ajE8/hS++gE2boEwZ67b6739bY3Tt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\nFM4558LyROGccy6s/weGdq6+dZKZnwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x491fe80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.26283625531230376)\n",
      "('o_avg_amount_nqh', 0.049977946032215635)\n",
      "('o_num_nqh', 0.04703089014552464)\n",
      "('o_create_time', 0.030201414799091986)\n",
      "('o_avg_amount', 0.025234795272966484)\n",
      "('o_htl_min_amount', 0.024550955756730782)\n",
      "('o_max_creationdate', 0.023662468400825767)\n",
      "('o_flt_min_amount', 0.023429439025037444)\n",
      "('o_htl_max_amount_nqh', 0.022854141905058911)\n",
      "('o_days_use', 0.022845811136662113)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5883  4243\n",
      "1       2552  7294\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.70      0.58      0.63     10126\n",
      "          1       0.63      0.74      0.68      9846\n",
      "\n",
      "avg / total       0.67      0.66      0.66     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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c8vr4Y7j5ZuubeO65UnKuTE+Hk06C8uWtLPjVV5eSA3elRb6JQlWXAkuxarHO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\nXFieKJxzzoX1/ytz3CxckZVJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a586240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25344443815132756)\n",
      "('o_avg_amount_nqh', 0.051624365039614248)\n",
      "('o_num_nqh', 0.046507259203101968)\n",
      "('o_create_time', 0.026419950978274664)\n",
      "('o_min_creationdate', 0.025748063810594472)\n",
      "('o_max_creationdate', 0.025298378835937909)\n",
      "('o_avg_amount', 0.024207454754027156)\n",
      "('o_htl_min_amount', 0.024035748035782737)\n",
      "('o_flt_min_amount', 0.023578989192726003)\n",
      "('o_days_use', 0.022489333572313183)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5963  4163\n",
      "1       2675  7171\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.59      0.64     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.66     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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jJYg33oAzz/QG6zjxROGcKzFVmDIlv0pp8mTbvu++9gG/Rw9rT47brBiVKlk1U69eVu1U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\nD7PFuNLelU5QAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1546b550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.26031566383232474)\n",
      "('o_avg_amount_nqh', 0.054749145744169947)\n",
      "('o_num_nqh', 0.047973338894878426)\n",
      "('o_htl_min_amount', 0.025522310337156039)\n",
      "('o_max_creationdate', 0.024148360440032421)\n",
      "('o_htl_max_amount', 0.023980188032725804)\n",
      "('o_create_time', 0.022989362133464308)\n",
      "('o_contract_amount', 0.022703896328117191)\n",
      "('o_min_creationdate', 0.022444305127196865)\n",
      "('o_days_use', 0.021634861236565942)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5886  4240\n",
      "1       2648  7198\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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SOuCAEtzh1q3wn//YuIhq1eDNN+2ut9+wjgtPFM65YpkzZ1uT0vjxdu7ee284/XS7ajj+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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x168a58d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.257738722324102)\n",
      "('o_avg_amount_nqh', 0.05375165424261022)\n",
      "('o_num_nqh', 0.043608523342301038)\n",
      "('o_avg_amount', 0.025588862711693108)\n",
      "('o_htl_min_amount', 0.024595127795747084)\n",
      "('o_create_time', 0.024566054161729269)\n",
      "('o_days_use', 0.023757712917886947)\n",
      "('o_min_creationdate', 0.022675596557110142)\n",
      "('o_contract_amount', 0.02261762146989111)\n",
      "('o_htl_max_amount', 0.022293214207568468)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5893  4233\n",
      "1       2645  7201\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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NGJ3IgScK51yUcnJsxotRo3ZUKYlYlVL//tZLqdSqlAqzaZONsLvuOmjQwCfxiyNPFM65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\nzkXkicI551xEniicc85F9P8ePKfdCEHh1wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18defcc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25395261022322846)\n",
      "('o_avg_amount_nqh', 0.052528448258048102)\n",
      "('o_num_nqh', 0.045168924575059492)\n",
      "('o_days_use', 0.026083785279959523)\n",
      "('o_create_time', 0.025967191366252449)\n",
      "('o_max_creationdate', 0.025637481194522603)\n",
      "('o_flt_avg_amount', 0.024401691408396011)\n",
      "('o_htl_min_amount', 0.023910284811090067)\n",
      "('o_min_creationdate', 0.023631511578621738)\n",
      "('o_htl_avg_amount', 0.023353040637163574)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5896  4230\n",
      "1       2673  7173\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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pHyvx88/W1XXsWGjbFgYOLAMX7cqKaG0Uk7E1KNKxEda51gHfxzMol9rGj7dF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\nEK5PAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x17d69940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25855878040281172)\n",
      "('o_avg_amount_nqh', 0.049652977870924632)\n",
      "('o_num_nqh', 0.045102814214369624)\n",
      "('o_create_time', 0.02638165372376533)\n",
      "('o_htl_min_amount', 0.024883100735035149)\n",
      "('o_contract_amount', 0.024160347978372434)\n",
      "('o_days_use', 0.023641657894913137)\n",
      "('o_max_creationdate', 0.022747983400333148)\n",
      "('o_flt_min_amount', 0.02236454649353517)\n",
      "('o_max_orderdate', 0.022235314756932103)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5837  4289\n",
      "1       2660  7186\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.67      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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NfcMNUK+eF/FLIE8Uzrmw4tKFNVqffw7XXQcLF1ql1xtv9CSRQJ4onHO7UYUZM3bdbyjW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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xbbe90b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25584424476230266)\n",
      "('o_avg_amount_nqh', 0.056393659175552113)\n",
      "('o_num_nqh', 0.048159202950728647)\n",
      "('o_min_creationdate', 0.026109374453764961)\n",
      "('o_htl_min_amount', 0.025757735548326756)\n",
      "('o_days_use', 0.02421204298608547)\n",
      "('o_avg_amount', 0.023411506892811136)\n",
      "('o_create_time', 0.023143158410124178)\n",
      "('o_flt_max_amount', 0.02277027865427084)\n",
      "('o_max_creationdate', 0.022573280424027699)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5872  4254\n",
      "1       2643  7203\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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TA/fea+Mi6tSBt96Cs8/2Bus48UThnCuRuXO3lxrGj7eSRL169sW+e3c44YRdrFKKpkIF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\nLipPFM4556LyROGccy6q/wckZLAaRSZ2kgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb9474e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25178917491564534)\n",
      "('o_avg_amount_nqh', 0.058660069571930748)\n",
      "('o_num_nqh', 0.047776519512002798)\n",
      "('o_avg_amount', 0.027788277061540835)\n",
      "('o_create_time', 0.026849809836584276)\n",
      "('o_max_orderdate', 0.023513770153080059)\n",
      "('o_min_creationdate', 0.023158969420238224)\n",
      "('o_htl_min_amount', 0.023101223098119451)\n",
      "('o_flt_min_amount', 0.022160956127558636)\n",
      "('o_contract_amount', 0.021941716629044861)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5898  4228\n",
      "1       2658  7188\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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Oo0dbYvjwQ+uNWrEiHH00XHyxJYeDDy7FHW7fDvfea+MiataEt96CM8/0G9Zx4onCOVci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\neaJwzjkXlScK55xzUXmicM45F9X/A9r0q/6JxzRCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12478940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25862248744218552)\n",
      "('o_avg_amount_nqh', 0.058661835348014536)\n",
      "('o_num_nqh', 0.045672641561689896)\n",
      "('o_days_use', 0.025942172082635374)\n",
      "('o_min_creationdate', 0.02376125715064091)\n",
      "('o_contract_amount', 0.022648037964805776)\n",
      "('o_max_creationdate', 0.022450378972207922)\n",
      "('o_avg_amount', 0.022443698125349326)\n",
      "('o_htl_min_amount', 0.022239637953289468)\n",
      "('o_max_orderdate', 0.022089158219639193)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5881  4245\n",
      "1       2480  7366\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.70      0.58      0.64     10126\n",
      "          1       0.63      0.75      0.69      9846\n",
      "\n",
      "avg / total       0.67      0.66      0.66     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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Z2dYUkJMYvv/eBsHtuad1Wb3nHksOderEKYDt2236jYcfthLE22/DOed4g3WceKJwzsVk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\n56LyROGccy6q/wcs7r3LENADRgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb947470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25499879350848442)\n",
      "('o_avg_amount_nqh', 0.049910615025062444)\n",
      "('o_num_nqh', 0.048112739217616447)\n",
      "('o_create_time', 0.026786392408758741)\n",
      "('o_max_creationdate', 0.023968193610628189)\n",
      "('o_htl_min_amount', 0.023941565585609247)\n",
      "('o_contract_amount', 0.023517513314091593)\n",
      "('o_days_use', 0.023435656658969715)\n",
      "('o_flt_min_amount', 0.023069089059435263)\n",
      "('o_htl_max_amount', 0.02294237771825779)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5865  4261\n",
      "1       2641  7205\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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WCtSxo91T7tYN6tcvwR1mZcHDD9u4iOrV4e23bSCF37COCk8UzrliWbQo96ph4kS7kqhR\nA846yxLDmWdC1apR2nm5ctbM1KOHNTvVqBGlHTnwROGci1BWFkyZkpsc5s615U2awG23WXJo3z6K\nHYy2brXR1DfeaJcnXsQvZjxROOcKtGkTjB+f26S0Zg2ULw8dOsD111tyaNAgBoF8+aXtcPFiqFcP\n/vY3TxIx5InCObeHxYv3bFLavdtuA3Ttaomhc2cb4BwTGzZYdb9hw6BRIwuoQ4cY7dzl8EThXBmX\nlQXff5+bHObMseWNG8M//mHJ4YQT7Eoi5v7zH3jlFRuB98ADULlyHIJwniicK4M2b96zSWn1aru3\n0KEDXHONJYdGjeIU3KpVVj+8SRO45x7o3h3atIlTMA48UThXZvz2m5U+Gj0aJkywiX4OOmjPJqWD\nDopjgKrw1lt2GVOvnvVqqlrVk0QC8EThXCmVnQ1Tp1piGDMGZs605UcdlVsu48QT49SklNfSpdCn\nj9X1aN/ei/glmET4iDjnSsiWLfD555YcPvnEWnFSUiwhPP64JYfGjeMdZR4//GAj87Kz4Zln4Kab\nvIhfgvFE4VySW7Ys90b0hAmwc6f1SurSJbdJ6eCD4x1lPnbtsoqAzZtDz542GKNEh2+7kuKJwrkk\nk51tzfc5yWHGDFvesKENL+jWDU46yUpoJKSc8t9DhsD06db39rnn4h2VC8MThXNJYOtW+OKL3Cal\nP/6wKhYnnggDB+Y2KSV8s/6MGdat6ocf4LzzvIhfkvBE4VyCysjI7aX01VewY4d1Aurc2RJDly5J\nVOIoK8vGQTz2mLWDvfsuXHhhEmQ2B54onEsY2dn2RTunSenHH235kUfCDTdYcvjrX61ZP+mUK2dX\nE5dfbs1OCXnTxBXEE4VzcbRtm5UxyunCumKFnVPbt4dHH7Xk0KRJkn7x3rLFriJuusmy3fvvJ2mW\nc1FNFCLSGXgGSAGGqeqjedZXA94E6gaxPKGqr0QzJufi7fffc5uUvvwStm+3Gd7OPNMSQ9euNgNc\nUvv8c+jdG5YssbvsN97oSSKJRZQoRKQCUFdVF0b6wiKSAgwCTgcygGki8rGqzg3Z7CZgrqp2E5Fa\nwHwReUtVd0V+CM4lNlVrRsppUpo+3ZbXqwfXXWfJoWPHUnIeXb/e5qp+5RW7uz5pknXBckmt0EQh\nImcBTwIVgPoi0gp4QFXPL+SpbYGFqrooeJ2RwLlAaKJQoIqICHAgsA7ILPJROJdgtm+3G9A5TUrL\nl1vz0fHH26Rs3brZ1KBJ2aQUzqOPwuuvw113wf33Q6VK8Y7IlYBIrigeBtoBEwBU9ScRaRjB8+oA\ny0IeZwSvE+p54GPgd6AKcImqZud9IRHpDfQGqFu3bgS7di72/vgjt0npiy/s/sMBB+zZpFS7dryj\njIKVK62IX9OmVsSvRw849th4R+VKUCSJYreqbpA9v/poCe3/TOAn4FSgAfC5iExS1U177Ex1KDAU\nIC0traT27dw+UbWOPDlNStOm2fK6daFXL0sOJ59ciufXUbWrh759bUR1ThE/TxKlTiSJYp6IdAfK\niUh94BZgSgTPWw4cHvI4NVgWqhfwqKoqsFBEFgNHA1MjeH3nYm7HDiuTkdOktGyZNR+1bQsDBlhy\naN68FDYp5bVkifXZHT/eRv0NG1YGDrrsiiRR3AzcD2QDHwCfAXdH8LxpQKMguSwHegCX5dlmKdAJ\nmCQihwCNgUWRhe5cbKxcaaOhR4+2zjxbt8L++8MZZ8CDD8JZZ8Ehh8Q7yhiaPt3uvovA889bj6Zy\n5eIdlYuiSBLFmaraD+iXs0BELsCSRoFUNVNEbsYSSwrwsqrOEZE+wfohwCPAqyIyCxCgn6quKd6h\nOFcyVGHWrNwmpalTbVlqKlx1lV01nHJKGbxPu3OntaO1bGndtfr2hSOOiHdULgbEWn3CbCDyg6q2\nzrNsuqrGZTaRtLQ0TU9Pj8euXSm2cyd8/XVucli61JYfd5wlhm7d7PxYJltXdu+2GuVDh9rQcR9V\nnZSC83ZacZ5b4BWFiJwJdAbqiMiTIauqYs1QziW11atzm5TGj7eBxJUrw+mnw333WZPSoYfGO8o4\n+/FHK+L3009w0UVWZ8SVOeGanlYBs4EdwJyQ5ZuB/tEMyrloUIU5c3KvGqZMsWV16lgJom7d4NRT\nLVmUeZmZNg5i4ECoVcvKb1xwQbyjcnFSYKJQ1R+BH4OR0jtiGJNzJWbXLpg4MTc5LFliy9u0sTJE\n3bpZb84y2aQUTkoKzJ5tN2X++1+bM8KVWZHczK4jIv8CmgJ/3r5T1aOiFpVz+2DNGhg71hLDZ5/B\n5s124/m002zA8Nlnw2GHxTvKBLR5s11F/P3vuUX8Enb2IxdLkSSKV4EBwBNAF2zsgw96cwll3jz4\n+GNLDt99Z03phx5qg4S7dYNOnaxLqyvAZ59ZEb9ly+Doo22MhCcJF4gkUeyvqp+JyBOq+itwr4ik\nA/dFOTbnInLffTbYDawZ6d57LTm0bu3d+wu1dq3NVf3665YgJk+GE06Id1QuwUSSKHaKSDng12AM\nxHKsLpNzcTdkiCWJq6+2f1NT4x1Rkhk4EIYPtxpN995bBgeHuEhEMo6iHVbxtTrwL6Aa8Jiq/i/6\n4e3Nx1G4HKNGWUecs86CDz6A8j4NV2RWrLAriWOOsfsSixbZIBFXqu3LOIpCL8xV9XtV3ayqS1X1\nSlU9B1hSnJ05V1KmTIFLL4W0NBgxwpNERFRtnoimTaFnT3tcpYonCVeosIlCRI4TkfNEpGbwuJmI\nvA58H5PonMvHL7/YPYjDDrOb1wccEO+IksDixVac6pproEULa27yPsEuQgUmChH5D/AWcDnwqYg8\niM1JMQPwrrEuLlauhM6d7Rz36aeldH6HkjZ9ujUzff89DB5s5W+P8v/CLnLhLtjPBVqq6nYRORib\nhKh5zox1zsXa1q02BmLFCqvL1DCS6bPKsh077OZ0y5bW3bVvXzj88MKf51we4ZqedqjqdgBVXQcs\n8CTh4iUzE7p3t5p077xj8z+4AuzebV3AGjeGdevsBs6TT3qScMUW7oriSBHJKSUu2HzZf5YWV1Uv\n/OJiQtWmPBg7Fl580a4qXAHS0+Haa2HmTMusXsTPlYBwieLCPI+fj2YgzhVkwACbQO3ee23wsMtH\nZibcfbfVZTrkEPjwQzjvvHhH5UqJcEUBv4xlIM7l55VXrPzQ1VfDww/HO5oElpIC8+dbr6bHH4eD\nDop3RK4U8QIHLmF9+ilcf73ND/HSS96bcy+bNsEtt8DChfbmvPeevVGeJFwJ82FKLiFNn27z5DRv\n7kVM8zV2rPVk+v136/rasKG/SS5qIr6iEJGK0QzEuRyLF1tZjpo17XxYxSuL5VqzBq64wt6gqlXh\n22/9xo2LukIThYi0FZFZwC/B45Yi8lzUI3Nl0tq10KWLTTg0bpxPRbqXxx+Ht9+2WZd++AHatYt3\nRK4MiKTp6VngbOAjAFWdISKnRDUqVyZt326lOZYsgS++gCZN4h1Rgvj9d8ugzZtb168rrrDfnYuR\nSJqeyqnqb3mWZUUjGFd2ZWXZvNVTpsBbb8FJJ8U7ogSgav2C8xbx8yThYiySRLFMRNoCKiIpInIr\nsCDKcbkyRBVuvdW6/j/9NFyYdwRPWbRokc3dev310KqVNTd5ty8XJ5E0Pd2INT/VBVYCXwTLnCsR\njz8Ozz8Pt99uvT3LvPR06NDBSm+8+CJcd51P1efiKpJEkamqPaIeiSuThg+Hfv1sbuuBA+MdTZxt\n3w6VK9sVxN/+ZpdZPmWfSwCRfE2ZJiJjReRqESlSR0UR6Swi80VkoYj0L2Cbk0XkJxGZIyITi/L6\nLrl99ZU1vXfsCK++Woa/NO/aBQ89ZKW/1661K4knnvAk4RJGJDPcNQAGAG2AWSLykYgUeoUhIinA\nIKAL0BS4VESa5tnmIOAF4BxVbQZcXPRDcMlo5kw4/3w7N370EVQsq6N0pk6FNm3gwQetucm5BBTR\ndzhV/VZVbwFaA5uwCY0K0xZYqKqLVHUXMBKb4yLUZcAHqro02M+qiCN3SWvZMuja1TrwjBtXRitO\nZGbCHXdA+/awfr1N1ffWW1CjRrwjc24vkQy4O1BELheR0cBUYDVwQgSvXQeb7ChHRrAs1FFAdRH5\nWkSmi8hVBcTQW0TSRSR99erVEezaJaoNG2xA3ebNliTK7BQJKSlWo+n662HOHK+d7hJaJDezZwOj\ngYGqOikK+28DdAIqA9+JyBRV3aP7raoOBYYCpKWlaQnH4GJk506rfL1ggRX8K3PDATZuhHvusZvU\nDRtaEb/yXm7NJb5IPqVHqmpxZj9ZDoR+X0wNloXKANaq6lZgq4h8A7TEx2mUOtnZduN64kRrYTn1\n1HhHFGNjxkCfPjaPa6tWlig8SbgkUWDTk4j8N/j1fRH5IO9PBK89DWgkIvVFpALQA/g4zzajgJNE\npLyI7A+0A+YV4zhcguvXD0aOhMceg8sui3c0MbR6tR1wt25w8ME29Py66+IdlXNFEu4rzdvBv8Wa\n2U5VM0XkZuAzIAV4WVXniEifYP0QVZ0nIp8CM4FsYJiqzi7O/lzievZZ6+15001w553xjibGnnjC\nmpgeegj694cKFeIdkXNFJqrhm/xF5GZVfb6wZbGSlpam6enp8di1K4b334eLL7Z7E+++a/dwS72M\nDFi3Dlq0gC1b4LffoFmzeEflyjgRma6qacV5biTdY6/JZ9m1xdmZK1smT7ZCf8cfb/clSn2SyM62\nkhtNm0KvXlbE6sADPUm4pFdg05OIXILdV6if555EFWBDtANzyW3ePDjnHDjiCBsiULlyvCOKsl9+\nsa6uEydCp04wdKgX8XOlRrh7FFOBtVhvpUEhyzcDP0YzKJfcVqywsRIVKlg32FI/hiw9Hf76Vxte\nPmwYXHONJwlXqhSYKFR1MbAYqxbrXEQ2b7ZZOtessS/X9evHO6IoCi3id8st8I9/wGGHxTsq50pc\nuO6xE4N/14vIupCf9SKyLnYhumSxezdcdJHVcXr3XSthVCrt3GlTkTZqZBmxfHnr9+tJwpVS4Zqe\ncqY7rRmLQFxyU7Um+vHj4eWXrempVJoyBa69FubOtSlJy2zJW1eWFPgpDxmNfTiQoqpZQHvgBuCA\nGMTmksj998Nrr9lwgV694h1NFGRmwm23wQknwKZN8Mkn8MYbNojOuVIukq9DH2HToDYAXgEaAcOj\nGpVLKi++CAMG2IDj++6LdzRRkpICS5ZYGY45c6z8rXNlRCSJIltVdwMXAM+pal/2rgLryqgxY2wy\ntq5dYfDgUtbZZ8MGSwy//GIH9u678MILULVqvCNzLqYiSRSZInIxcCUwJli2X/RCcsli6lS45BJo\n3RrefruU1bgbNcoGzg0bBt98Y8tK/YhB5/IX6cjsU7Ay44tEpD4wIrphuUS3cKF1g/3LX+yq4sAD\n4x1RCVm50rLfeedB7drw/fd289q5MiySqVBnA7cA6SJyNLBMVf8V9chcwlq9Gjp3tp5O48bBIYfE\nO6IS9OSTNjfrv/4F06aV4j6+zkWu0MYCEfkr8AY2l4QAfxGRK1X1f9EOziWerVttMrbly2HCBJvz\nOuktW2ZF/Fq2tLvxPXtCkybxjsq5hBFJ09NTQFdVPVFVTwDOAp6JblguEWVmQo8eVrFi5Egr9pfU\nsrPt5nTTpta8lFPEz5OEc3uIJFFUUNW5OQ9UdR7gRfXLGFWbT2LMGHj+eTj33HhHtI8WLICTT7aD\nat/e5owoVV22nCs5kfRT+UFEhgBvBo8vx4sCljn//rcVRL3rLrjxxnhHs4+mTbMifpUr2zDynj09\nSTgXRiRXFH2ARcA/g59F2OhsV0a89hrce69VrPhXMndj2LrV/m3dGvr2tTIcvXp5knCuEGFnuBOR\n5kADYI6q/hKzqMLwGe5ia/x46wZ78slWtSIpZ/LcsQMeeQRefRVmzICaXr7MlT1RmeFORO7Gyndc\nDnwuIvnNdOdKsR9/hAsvtHu977+fpEni22/h2GOt7ez0033QnHPFEK7p6XKghapeDBwHJHvLtCuC\nJUusLEf16jZWIumqVmRm2vwQJ50E27bZDEqvvmoH5JwrknCJYqeqbgVQ1dWFbOtKkXXrrEz4jh12\nfk3KaRbegTK1AAAa0klEQVRSUmywx003wezZcOaZ8Y7IuaQVrtfTkSFzZQvQIHTubFW9IKqRubjY\nscO6vi5aBJ9/bs1OSWP9eujXD+680yYVevttb2pyrgSESxQX5nn8fDQDcfGXlWU9myZPtnNshw7x\njqgIPvjArh5Wr7ZxEY0aeZJwroSEmzP7y1gG4uJL1eblef99K3fUvXu8I4rQH3/AzTdb4K1awdix\ndvPaOVdionrfQUQ6i8h8EVkoIv3DbHeciGSKyEXRjMcV7Mkn4dlnbXhB377xjqYInnrKhov/+99W\n99yThHMlLuw4in16YZEUYAFwOpABTAMuDS0HErLd58AO4GVVfS/c6/o4ipI3ciRceilcfLH9nvDT\nQC9ZYvcjjj3WBtFlZEDjxvGOyrmEFpVxFPnspGIRX7stsFBVF6nqLmAkkF+FoL8D7wOrivj6rgR8\n/TVcfbXdj3j99QRPEtnZ8NxzcMwxcP311l52wAGeJJyLskJPCyLSVkRmAb8Ej1uKyHMRvHYdYFnI\n4wzyTKEqInWA84HBhcTQW0TSRSR99erVEezaRWL2bJufp0EDm4KhUqV4RxTGvHlWn+mWW+zf99/3\n0hvOxUgk3x+fBc4G1gKo6gxsxruS8DTQT1Wzw22kqkNVNU1V02rVqlVCuy7bMjJsrMT++9tYiYQe\nhzZ1qt2o/vlnu+wZOxaOOCLeUTlXZkRSPbacqv4me357y4rgecuBw0MepwbLQqUBI4PXrgl0FZFM\nVf0ogtd3xbRxo4263rgRJk2CunXjHVEBtmyx+SHatLGxEX//eymbTs+55BDJFcUyEWkLqIikiMit\n2E3qwkwDGolIfRGpAPQAPg7dQFXrq2o9Va0HvAf8zZNEdO3aBRdcYC05H3xgk7olnB07rJ55o0Y2\nLiIlBQYM8CThXJxEckVxI9b8VBdYCXxBBHWfVDVTRG4GPgNSsB5Nc0SkT7B+SLGjdsWSnW1Vtb/6\nylpwTjst3hHlY/Jkm21uwQK45hrYb794R+RcmVdoolDVVdjVQJGp6lhgbJ5l+SYIVe1ZnH24yN19\nNwwfbkMOrrwy3tHkkZkJt94KgwZBvXpWPyQhM5lzZU+hiUJEXgL2Gmyhqr2jEpGLikGD4LHHoE8f\n6F/g0Mc4Kl8eVq60iq8DBti9CedcQoik6emLkN8rYd1ZlxWwrUtAH35o94HPOcfmu06YXqVr18I/\n/2k/jRtbgamEHsjhXNkUSdPT26GPReQNYHLUInIl6ttv4bLLoG1bGDEiQerkqcJ771mNpnXrbFxE\n48aeJJxLUMX5n1kf8O4nSWD+fOjWDVJTYfRoGzMRdytWWLer7t3h8MNh+nTo2TPeUTnnwojkHsV6\ncu9RlAPWAYnYyu1C/PEHdO5sTf+ffgoJM07x6actoIEDrfpg+UhaP51z8RT2f6nYSLiW5A6Uy9Zo\nVRF0JWbzZjjrLFi1ymo5NWgQ54AWL7Yifq1bw/33w3XX2RgJ51xSCNv0FCSFsaqaFfx4kkhwu3db\nq86MGfDOO3DccXEMJisLnnnGivj17p1bxM+ThHNJJZJ7FD+JiBf5TwKqcMMN1rIzZIhdVcTN3Llw\n0kk2NqJjR+t6lTDdrZxzRVFg05OIlFfVTOBYYJqI/ApsxebPVlVtHaMYXYQefBBeeSW3dSduvv/e\n6pZXqQJvvmndrjxJOJe0wt2jmAq0Bs6JUSxuHwwbBg8/bCU6HnwwTkFs3mzJIS0N+vWz7q+1a8cp\nGOdcSQmXKARAVX+NUSyumMaOtRHXnTvDiy/G4cv7tm2WnV5/HWbNsi5WDz8c4yCcc9ESLlHUEpHb\nClqpqk9GIR5XRNOm2RSmLVvCu+/GoYbexInWzrVwoc06V6FCjANwzkVbuESRAhxIcGXhEs+vv9oN\n69q14ZNPYlweKTPT6oIMGQJHHglffgmnnhrDAJxzsRIuUaxQVW8/SFCrV9sMdVlZ1svpL3+JcQDl\ny9vYiNtug0ceSZBh3865aAjXPdavJBLUtm1WmmPZMivN0bhxjHa8Zo2V25g/3x4PHw7//a8nCedK\nuXCJolPMonARy8qCSy+1aaSHD4cTTojBTlVh5Eho0gTeegumTLHlXsTPuTKhwP/pqrouloG4wqna\nbYGPP4Znn4Xzz4/BTpcvh/POs+xUvz788ANcfXUMduycSxT+lTCJPPooDB5s0zfcfHOMdvrcczbb\n3BNPwHffQfPmMdqxcy5RSLKVb0pLS9P09PR4hxFzb7wBV11lX+zffDPKrT6//gobNkCbNrB1q5UG\nb9gwijt0zkWbiExX1bTiPNevKJLAF1/ANdfAKadYiY6oJYmsLHjySbtquOGG3CJ+niScK9M8USS4\nn36yeX6aNLG6ehUrRmlHs2fbnfHbb4fTToNRo7w+k3MOiGzObBcnS5dC165QrZqV6ahWLUo7+v57\nm460WjWbL/WSSzxJOOf+5IkiQa1fb7Wbtm2DyZNtOtMSt2kTVK1qRfzuuQduuglq1ozCjpxzycyb\nnhLQjh1w7rl2T/mjj2zenxK1bRvccYdNILRqFaSkwAMPeJJwzuUrqolCRDqLyHwRWSgie82zLSKX\ni8hMEZklIt+KSMtoxpMMsrOtd9OkSfDaa3DyySW8gwkT7Gb1f/9rAzEqVSrhHTjnSpuoJQoRSQEG\nAV2ApsClItI0z2aLgY6q2hx4BBgarXiSxR13WBXYxx+HHj1K8IUzM60n06mnWrepCROsoF/VqiW4\nE+dcaRTNK4q2wEJVXaSqu4CRwLmhG6jqt6q6Png4BYhGS3zSeOop+7nlFut8VKLKl4eNG+HOO21C\n7RK/VHHOlVbRTBR1gGUhjzOCZQW5FhgXxXgS2jvvWCHWCy6woQwl0ulo1Sprx/r5Z3s8fDgMHOhF\n/JxzRZIQN7NF5BQsUfQrYH1vEUkXkfTVq1fHNrgY+OYbuPJKOPFEG3WdkrKPL6hqxfuaNrViftOm\n2XIv4uecK4ZonjmWA4eHPE4Nlu1BRFoAw4BzVXVtfi+kqkNVNU1V02rVqhWVYONlzhzr4XTkkVbs\nr3LlfXzBZcusBvkVV1ivpp9+sizknHPFFM1EMQ1oJCL1RaQC0AP4OHQDEakLfABcqaoLohhLQvr9\nd5t8qFIlGDcODj64BF500CC7Uf300zYAo2ne/gPOOVc0URtwp6qZInIz8Bk2rerLqjpHRPoE64cA\n9wM1gBfEGuUzi1u0Ktls2mRJYv16a3qqV28fXuyXX+xGdVoa3H+/9W6qX7+kQnXOlXFePTYOdu2y\n0hwTJ9pc12ecUcwXysy0blL332+j8qZO9dIbzrl8efXYJKIK114LX34JL720D0li5kxo394mpzjz\nTC/i55yLGq/1FGP33GM9mx55xKafLpbvv4eTTrKbGu+8Axdd5EnCORc1fkURQ4MHw3/+A717W8Io\nso0b7d+0NLjvPpg7Fy6+2JOEcy6qPFHEyKhRNn3p2Wdbx6Qindu3boVbb92ziN/990ONGlGL1znn\ncnjTUwxMmWJTmKal2fi38kV517/4Aq6/HpYssTLg+zzQwjnnisavKKJswQK7ijjsMBg92mYWjUhm\npt31Pv10qFDB+tA+/zxUqRLVeJ1zLi9PFFG0cqVNPiQCn34KtWsX4cnly9vEFP372+jqv/41anE6\n51w4niiiZMsWu5L44w8YMwYaNozgSStXwuWXw7x59vjNN+3utzc3OefiyBNFFGRm2rTTP/wAb78N\n7doV8gRVeOMNK7fx3nswfbot995MzrkE4ImihKnCjTfC2LHwwgtWny+spUvhrLOsHHjjxtbMdMUV\nMYnVOeci4YmihD3yCAwbZuMkbrghgicMHmw3qp991uY/bdIk6jE651xReK2nEvTyy9ZR6aqr4NVX\nw7QczZ9vg+fatoVt22xsxD5VBXTOufC81lMC+PRTG3F9+ulWwynfJLF7Nzz6KLRsaWMiVG22OU8S\nzrkE5omiBEyfbuWWmje3e9EVKuSz0Y8/2l3tu+6yexIff+w3q51zScFHZu+jxYvtvF+jhpUMr1o1\nn42++87GQdSsaZnkwgtjHqdzzhWXX1Hsg7VrbUDdrl3W9HTYYXk22LDB/m3XDh56yIr4eZJwziUZ\nTxTFtH27dX397TdrRdqjs9KWLXDLLVbEb+VKKFfOukGVyFynzjkXW970VAxZWXDZZVbs7513bGqI\nP40fb3e1ly61crERF3dyzrnE5ImiiFThH/+Ajz6Cp5+2m9iA9Wjq3dv6xTZubGMiTjwxnqE651yJ\n8KanInr8cZtP4vbbLWH8ab/97GbFPffY6GpPEs65UsITRREMHw79+lkdp4EDsYp/PXrYTWqwIn4D\nBkClSnGN0znnSpInigh99ZXNcd2xI7z2qlLu9VftDvZHH9kVBPi4COdcqeT3KCIwcyacfz4cdRR8\n/OwSKp7TGz7/3O5iDxtm9yScc3vZvXs3GRkZ7NixI96hlBmVKlUiNTWV/fbbr8Re0xNFIZYtg65d\n4cADYdw4qDp4qA2gGzQI+vSxrq/OuXxlZGRQpUoV6tWrh/gVd9SpKmvXriUjI4P69euX2Ov6WS6M\nDRugSxf4y4af+XrgVA4/HLjvPpgzB/72N08SzhVix44d1KhRw5NEjIgINWrUKPEruKie6USks4jM\nF5GFItI/n/UiIs8G62eKSOtoxlMUO3fChefs5vx5/2bqrpY0euZm6xtbuTLUrRvv8JxLGp4kYisa\n73fUEoWIpACDgC5AU+BSEWmaZ7MuQKPgpzcwOFrxFEV2NjzQ7QeemNSWR7Lvodz558Ho0X6z2jlX\nJkXziqItsFBVF6nqLmAkcG6ebc4FXlczBThIRA6NYkwRGXTFdwz4vC2NqvwBH35o85kecki8w3LO\nFdNHH32EiPDzzz//uezrr7/m7LPP3mO7nj178t577wF2I75///40atSI1q1b0759e8aNG7fPsfzn\nP/+hYcOGNG7cmM8++6zA7Z577jmOPvpomjVrxj//+c8/l8+cOZP27dvTrFkzmjdvHpOOAtG8mV0H\nWBbyOAPIO3t0ftvUAVaEbiQivbErDupGudknKwsm7WpH3eMHcM4nN8DB1aO6P+dc9I0YMYKTTjqJ\nESNG8NBDD0X0nPvuu48VK1Ywe/ZsKlasyMqVK5k4ceI+xTF37lxGjhzJnDlz+P333znttNNYsGAB\nKSkpe2w3YcIERo0axYwZM6hYsSKrVq0CIDMzkyuuuII33niDli1bsnbt2hLt3VSQpOj1pKpDgaFg\nM9xFc18pKTDynXKo9kdSCt/eOReZW2/NHXJUUlq1slI64WzZsoXJkyczYcIEunXrFlGi2LZtGy+9\n9BKLFy+mYsWKABxyyCF07959n+IdNWoUPXr0oGLFitSvX5+GDRsydepU2rdvv8d2gwcPpn///n/u\nu3bt2gCMHz+eFi1a0LJlSwBq1KixT/FEKppNT8uBw0MepwbLirpNzJUrZwnDOZf8Ro0aRefOnTnq\nqKOoUaMG06dPL/Q5CxcupG7dulTNd4KZPfXt25dWrVrt9fPoo4/ute3y5cs5/PDcU15qairLl+99\nyluwYAGTJk2iXbt2dOzYkWnTpv25XEQ488wzad26NQMHDiw0vpIQzSuKaUAjEamPnfx7AJfl2eZj\n4GYRGYk1S21U1RU450qdwr75R8uIESP4R1CYrUePHowYMYI2bdoU2DuoqL2GnnrqqX2OMa/MzEzW\nrVvHlClTmDZtGt27d2fRokVkZmYyefJkpk2bxv7770+nTp1o06YNnTp1KvEYQkUtUahqpojcDHwG\npAAvq+ocEekTrB8CjAW6AguBbUCvaMXjnCt71q1bx1dffcWsWbMQEbKyshARHn/8cWrUqMH69ev3\n2r5mzZo0bNiQpUuXsmnTpkKvKvr27cuECRP2Wt6jRw/6999zVECdOnVYtiz3tmxGRgZ16tTZ67mp\nqalccMEFiAht27alXLlyrFmzhtTUVDp06EDNmjUB6Nq1Kz/88EPUEwWqmlQ/bdq0Uedccpg7d25c\n9//iiy9q796991jWoUMHnThxou7YsUPr1av3Z4xLlizRunXr6oYNG1RV9c4779SePXvqzp07VVV1\n1apV+s477+xTPLNnz9YWLVrojh07dNGiRVq/fn3NzMzca7vBgwfrfffdp6qq8+fP19TUVM3OztZ1\n69bpscceq1u3btXdu3drp06ddMyYMXs9P7/3HUjXYp53fWixc67UGjFiBOeff/4eyy688EJGjBhB\nxYoVefPNN+nVqxetWrXioosuYtiwYVSrVg2AAQMGUKtWLZo2bcoxxxzD2WefHdE9i3CaNWtG9+7d\nadq0KZ07d2bQoEF/9ni67rrrSE9PB+Caa65h0aJFHHPMMfTo0YPXXnsNEaF69ercdtttHHfccbRq\n1YrWrVtz1lln7VNMkRBLNMkjLS1Nc95M51ximzdvHk32mCfYxUJ+77uITFfVtOK8nl9ROOecC8sT\nhXPOubA8UTjnoirZmreTXTTeb08UzrmoqVSpEmvXrvVkESMazEdRqYSnY06KEh7OueSUmppKRkYG\nq1evjncoZUbODHclyROFcy5q9ttvvxKdac3Fhzc9OeecC8sThXPOubA8UTjnnAsr6UZmi8hq4LcY\n7KomsCYG+4mF0nQsULqOpzQdC5Su4ylNxwLQWFWrFOeJSXczW1VrxWI/IpJe3OHuiaY0HQuUruMp\nTccCpet4StOxgB1PcZ/rTU/OOefC8kThnHMuLE8UBRsa7wBKUGk6Fihdx1OajgVK1/GUpmOBfTie\npLuZ7ZxzLrb8isI551xYniicc86FVeYThYh0FpH5IrJQRPrns15E5Nlg/UwRaR2POCMRwbFcHhzD\nLBH5VkRaxiPOSBV2PCHbHScimSJyUSzjK4pIjkVEThaRn0RkjohMjHWMRRHBZ62aiIwWkRnB8fSK\nR5yREJGXRWSViMwuYH0ynQMKO5binQOKO9l2afgBUoBfgSOBCsAMoGmebboC4wABjge+j3fc+3As\nJwDVg9+7JOqxRHo8Idt9BYwFLop33PvwtzkImAvUDR7Xjnfc+3g8dwOPBb/XAtYBFeIdewHH0wFo\nDcwuYH1SnAMiPJZinQPK+hVFW2Chqi5S1V3ASODcPNucC7yuZgpwkIgcGutAI1Dosajqt6q6Png4\nBSjZWsQlK5K/DcDfgfeBVbEMrogiOZbLgA9UdSmAqib78ShQRUQEOBBLFJmxDTMyqvoNFl9BkuUc\nUOixFPccUNYTRR1gWcjjjGBZUbdJBEWN81rsW1KiKvR4RKQOcD4wOIZxFUckf5ujgOoi8rWITBeR\nq2IWXdFFcjzPA02A34FZwD9UNTs24ZW4ZDkHFFXE54CkK+Hh9p2InIJ9SE6Kdyz76Gmgn6pm2xfX\npFYeaAN0AioD34nIFFVdEN+wiu1M4CfgVKAB8LmITFLVTfENy0HRzwFlPVEsBw4PeZwaLCvqNokg\nojhFpAUwDOiiqmtjFFtxRHI8acDIIEnUBLqKSKaqfhSbECMWybFkAGtVdSuwVUS+AVoCiZgoIjme\nXsCjao3hC0VkMXA0MDU2IZaoZDkHRKQ454Cy3vQ0DWgkIvVFpALQA/g4zzYfA1cFPR+OBzaq6opY\nBxqBQo9FROoCHwBXJsE31UKPR1Xrq2o9Va0HvAf8LQGTBET2ORsFnCQi5UVkf6AdMC/GcUYqkuNZ\nil0dISKHAI2BRTGNsuQkyzmgUMU9B5TpKwpVzRSRm4HPsJ4cL6vqHBHpE6wfgvWm6QosBLZh35QS\nToTHcj9QA3gh+BaeqQlaHTPC40kKkRyLqs4TkU+BmUA2MExV8+3iGG8R/m0eAV4VkVlYb6F+qpqQ\nJbtFZARwMlBTRDKAB4D9ILnOARDRsRTrHOAlPJxzzoVV1puenHPOFcIThXPOubA8UTjnnAvLE4Vz\nzrmwPFE455wLyxOFSzgikhVUUc35qRdm23oFVcos4j6/DqqhzhCR/4lI42K8Rp+c0hsi0lNEDgtZ\nN0xEmpZwnNNEpFUEz7k1GJvhXLF4onCJaLuqtgr5WRKj/V6uqi2B14DHi/rkYDzE68HDnsBhIeuu\nU9W5JRJlbpwvEFmctwKeKFyxeaJwSSG4cpgkIj8EPyfks00zEZkaXIXMFJFGwfIrQpa/KCIphezu\nG6Bh8NxOIvJjUL//ZRGpGCx/VETmBvt5Ilj2oIjcITYvRhrwVrDPysGVQFpw1fHnyT248ni+mHF+\nR0hxOhEZLCLpYvM/PBQsuwVLWBNEZEKw7AwR+S54H98VkQML2Y8r4zxRuERUOaTZ6cNg2SrgdFVt\nDVwCPJvP8/oAz6hqK+xEnSEiTYLtTwyWZwGXF7L/bsAsEakEvApcoqrNsUoGN4pIDaxqbTNVbQEM\nCH2yqr4HpGPf/Fup6vaQ1e8Hz81xCVavqjhxdgZCS5bcE4yybQF0FJEWqvosVsH1FFU9RURqAvcC\npwXvZTpwWyH7cWVcmS7h4RLW9uBkGWo/4PmgTT4LK8ud13fAPSKSis3t8IuIdMKqsk4LShZUpuC5\nK94Ske3AEmyei8bA4pCaOK8BN2EltHcA/yciY4AxkR6Yqq4WkUVBzaBfsEJ5/wtetyhxVsDmeQh9\nn7qLSG/s//WhQFOsJEio44Pl/wv2UwF735wrkCcKlyz6AiuxiqrlsBP1HlR1uIh8D5wFjBWRG7A6\nQ6+p6l0R7ONyVU3PeSAiB+e3UVDrqC1W9O4i4GasnHakRgLdgZ+BD1VVxc7aEccJTMfuTzwHXCAi\n9YE7gONUdb2IvApUyue5AnyuqpcWIV5XxnnTk0sW1YAVweQ3V2LF6PYgIkcCi4LmllFYE8yXwEUi\nUjvY5mAROSLCfc4H6olIw+DxlcDEoE2/mqqOxRJYfvMObwaqFPC6H2Kzpl2KJQ2KGmdQvvs+4HgR\nORqoCmwFNopVa+1SQCxTgBNzjklEDhCR/K7OnPuTJwqXLF4ArhaRGVhzzdZ8tukOzBaRn4BjsOkr\n52Jt8uNFZCbwOdYsUyhV3YFVCn1XrApqNjAEO+mOCV5vMvm38b8KDMm5mZ3ndddjJcSPUNWpwbIi\nxxnc+/gvcKeqzgB+xK5ShmPNWTmGAp+KyARVXY31yBoR7Oc77P10rkBePdY551xYfkXhnHMuLE8U\nzjnnwvJE4ZxzLixPFM4558LyROGccy4sTxTOOefC8kThnHMurP8H6UTPEEwUhscAAAAASUVORK5C\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe898208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25709297823745902)\n",
      "('o_avg_amount_nqh', 0.052722726153842298)\n",
      "('o_num_nqh', 0.044558481250128679)\n",
      "('o_create_time', 0.026823653681471344)\n",
      "('o_htl_min_amount', 0.025260828822932749)\n",
      "('o_avg_amount', 0.025021827348823817)\n",
      "('o_htl_max_amount', 0.023018791108471871)\n",
      "('o_flt_min_amount', 0.022928309925836617)\n",
      "('o_htl_max_amount_nqh', 0.022328985810639516)\n",
      "('o_contract_amount', 0.022157471648089788)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5834  4292\n",
      "1       2596  7250\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.74      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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DrT+5e3c4/ni7pTWqO/33v21cRM2a8PbbcN553mEdI54onHMltnHjruUy1qyx/uLjj4fH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\nFM4558LyROGccy6s/wfGJtPiZnwX/QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x19153a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.2611558613429702)\n",
      "('o_avg_amount_nqh', 0.048657210943230188)\n",
      "('o_num_nqh', 0.045507095222069818)\n",
      "('o_create_time', 0.028775851529240774)\n",
      "('o_htl_min_amount', 0.025300668282635202)\n",
      "('o_days_use', 0.024558230545362814)\n",
      "('o_min_creationdate', 0.02394432484612774)\n",
      "('o_avg_amount', 0.022440065905241231)\n",
      "('o_flt_min_amount', 0.021884918680962876)\n",
      "('o_max_orderdate', 0.021771353959312637)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5883  4243\n",
      "1       2542  7304\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.70      0.58      0.63     10126\n",
      "          1       0.63      0.74      0.68      9846\n",
      "\n",
      "avg / total       0.67      0.66      0.66     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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sZ6vhyy9h0ybr/TnuOOjWzZLDYYfF4TpyZiY88IDNi6hSBd55B84/3y9Yx4knCudczDIy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\nzjkXlScK55xzUf0/QfDF2RbrSZYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1925ec88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25610585712571965)\n",
      "('o_avg_amount_nqh', 0.048514266966478474)\n",
      "('o_num_nqh', 0.047688060583483113)\n",
      "('o_create_time', 0.026071113888563018)\n",
      "('o_min_creationdate', 0.025125325041219605)\n",
      "('o_avg_amount', 0.025075006463772691)\n",
      "('o_htl_min_amount', 0.023919342182202576)\n",
      "('o_days_use', 0.023735789656343039)\n",
      "('o_htl_max_amount_nqh', 0.023414366613325268)\n",
      "('o_num', 0.023161419812125009)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5771  4355\n",
      "1       2661  7185\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.68      0.57      0.62     10126\n",
      "          1       0.62      0.73      0.67      9846\n",
      "\n",
      "avg / total       0.65      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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Vgg8+gCuu8A7rKPFE4ZwrsI0brZ8hq79h82ZrQjr/fDuPX3RRlOrrlShhzUydO1uzU+XK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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12488b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25483712617593568)\n",
      "('o_avg_amount_nqh', 0.049003993047979318)\n",
      "('o_num_nqh', 0.04199753744608558)\n",
      "('o_days_use', 0.02904723359104593)\n",
      "('o_create_time', 0.026047720227919929)\n",
      "('o_avg_amount', 0.02360812990688806)\n",
      "('o_flt_min_amount', 0.023273313637853534)\n",
      "('o_min_creationdate', 0.022216560797780293)\n",
      "('o_htl_min_amount', 0.022019794428779473)\n",
      "('o_flt_max_amount', 0.021496854916516043)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5910  4216\n",
      "1       2690  7156\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.67      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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Ahw72BngRP1dCRLtHMQlYifVW6h+xfD3wYzyDcqltxAi49lq7gT1gQCk4X2Zk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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18f98a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25447933720731702)\n",
      "('o_avg_amount_nqh', 0.056673288399173669)\n",
      "('o_num_nqh', 0.044068999226418243)\n",
      "('o_create_time', 0.027569971810186639)\n",
      "('o_htl_avg_amount', 0.025544523062022501)\n",
      "('o_min_creationdate', 0.024124701107364355)\n",
      "('o_avg_amount', 0.023734797576572011)\n",
      "('o_htl_max_amount_nqh', 0.022264357416571921)\n",
      "('o_htl_min_amount', 0.021625252224045773)\n",
      "('o_days_use', 0.021505217474756488)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5794  4332\n",
      "1       2665  7181\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.68      0.57      0.62     10126\n",
      "          1       0.62      0.73      0.67      9846\n",
      "\n",
      "avg / total       0.65      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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XESUiOxsefdTGRRx6KLz7Llx6qXdYR4knCudcsa1ebYPeRo2y/obt2+0O1I4d7S6l9u3t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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa0702b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25771435519113378)\n",
      "('o_avg_amount_nqh', 0.053126296446426122)\n",
      "('o_num_nqh', 0.049885968378190357)\n",
      "('o_create_time', 0.027380840717351876)\n",
      "('o_days_use', 0.025751378994617581)\n",
      "('o_htl_min_amount', 0.025350494122119042)\n",
      "('o_avg_amount', 0.025181738356938089)\n",
      "('o_contract_amount', 0.02360851481885998)\n",
      "('o_min_creationdate', 0.02341796228942879)\n",
      "('o_htl_max_amount', 0.022303258496951701)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5868  4258\n",
      "1       2588  7258\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.74      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.66     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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uhX//28ZF1KwJ774L55zjDdZx4onCOVcsqjB16rYqpfHjbdvee0O3bpYYTjoJqlePYxAV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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x166f9240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.26217615074595718)\n",
      "('o_avg_amount_nqh', 0.052100689217600554)\n",
      "('o_num_nqh', 0.04679279336084731)\n",
      "('o_create_time', 0.027688105195675335)\n",
      "('o_days_use', 0.025813730196623804)\n",
      "('o_avg_amount', 0.02503401678360527)\n",
      "('o_flt_min_amount', 0.02399207211238082)\n",
      "('o_num', 0.023369680421831004)\n",
      "('o_min_creationdate', 0.023023447245741267)\n",
      "('o_contract_amount', 0.022394043817011444)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5885  4241\n",
      "1       2634  7212\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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b9CQi52H3FermuidRGfg93oG51HbzzfD22zZ9Qo/SUABm/nzr6jp+PHToAIMH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\nnIvKE4Vzzrmo/h/vWKbFumZI0AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x153ce0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25075081161965868)\n",
      "('o_avg_amount_nqh', 0.048599364404834415)\n",
      "('o_num_nqh', 0.046785993435581028)\n",
      "('o_create_time', 0.026159752286672059)\n",
      "('o_htl_min_amount', 0.025858548110343396)\n",
      "('o_min_creationdate', 0.024580960520021879)\n",
      "('o_contract_amount', 0.024097400812634687)\n",
      "('o_days_use', 0.023434112629833519)\n",
      "('o_max_creationdate', 0.023165463209421405)\n",
      "('o_htl_max_amount_nqh', 0.02246269563667682)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5835  4291\n",
      "1       2679  7167\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.67      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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N0Q7MJb/ff7f1dapUga++sntmofXHH9bVdexYOO88GDiwiE9Y5QqTcG0Uk7E1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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14f54048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.2573229553290719)\n",
      "('o_avg_amount_nqh', 0.051764771799345168)\n",
      "('o_num_nqh', 0.046531030227479543)\n",
      "('o_create_time', 0.027192187800255785)\n",
      "('o_avg_amount', 0.025557930982190905)\n",
      "('o_max_creationdate', 0.024268095180712448)\n",
      "('o_contract_amount', 0.023179099480085515)\n",
      "('o_flt_min_amount', 0.022935924548338073)\n",
      "('o_days_use', 0.022383348162095053)\n",
      "('o_htl_min_amount', 0.022140628547530378)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5885  4241\n",
      "1       2664  7182\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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5hfbyksOiRba8VSu46y5rUmrVqhT7k3Ny4F//snERNWvCW2/BxRd7h3VIPFE450pkwwYr\nsFdoob1zrDpGKCpUsGamrl2t2Snm26FcSXiicM7FbNGinVcNEyZY98ABB8AFF1jLz2mnwT77hLTz\nzZttNPXf/251ObyIX9x4onDOFSqv0F5ecogstHfzzfkK7YXp88/hb3+DJUvs/tlrrvEkEUeeKJxz\nu9i0yQrtjRy5a6G9k04qpNBemDZssIw0eDA0agTjxtngChdXniiccyxfvvOqIbLQ3lln2VVD1EJ7\nYfrPf+Dll+HWW+1e2lK5VcoVlycK58qhwgrtNWoUY6G9MK1aBWvXWhG/O++ELl2gdesEBOLyeKJw\nrpz4/Xdr6h850kogrVhhfQvHH1+MQnthUoU33oAbbrB+iMxMqFHDk0QS8EThXBn2yy+WFEaO3LXQ\nXseOdtVQrEJ7YVq2zDpAPvoI2rXzIn5JxhOFc2VIaIX2wvTNN9ZTnpsLTz4J117rRfySjCcK51Lc\ntm12M1DeXNF5hfbatCmFQnth2r7dMtZRR0GPHtCvXxxvp3LF4YnCuRS0Zg18+KElh8hCe6efXkqF\n9sKUV/77+eetR71mTXj66URH5aLwROFcCogstDdqFHz99a6F9jp1glNPTYG7R2fMgCuvtOam88/3\nIn4pwhOFc0lqxw746qudTUoLF9ryo48OqdBemHJy7FLnoYdg//3hf/+Dzp1TJHjnicK5JLJhA3z8\nsSWHyEJ7p55q8/CEWmgvTBUq2NVE9+7W7LT//omOyBWDJwrnEiyv0N6oUTB+vDXh16ljhfY6dbJ+\nh9AK7YVp0ya7irj2WptpbvjwJLvdysUq1EQhIh2BJ4E0YLCqPphv/b7A60C9IJZHVfXlMGNyLtFy\ncmDKlJ1NSnPn2vKmTa2sUadOdsdSSt8h+umn0KsXLF0KDRtaxVdPEikrpkQhIpWBeqq6MNYXFpE0\n4FngdCALmCYiI1V1bsRm1wJzVbWTiNQB5ovIG6q6PfZDcC755RXaGzXKBsBFFtq7+mprUioT0zuv\nX29tZC+/bMO8J0yAE05IdFRuDxWZKETkbOBxoDLQQERaAveo6gVFPLUNsFBVFwevMww4D4hMFApU\nFxEB9gHWAdnFPgrnklBeob1Ro+CLL3YttNepk42OTkihvTA9+CAMGQK33w533w1VqyY6IlcKYrmi\n+BfQFhgLoKrfiUjDGJ5XF1ge8TgreJ1IzwAjgZ+B6sAlqpqb/4VEpBfQC6BevXox7Nq5+MvNtbs+\n85qUvvvOlucV2uvUyeoqJaTQXphWrrQifk2aWBG/rl3t1ixXZsTykd2hqhtk19vYtJT23wH4DjgV\nOAz4VEQmqOqvu+xMdRAwCCAjI6O09u3cHssrtJd35ZB0hfbCpGpXDzfeaCOq84r4eZIoc2JJFPNE\npAtQQUQaANcDk2N43k/AwRGP04Nlka4AHlRVBRaKyBLgCGBqDK/vXELkFdobNcr6bCML7XXqZE1L\nSVFoL0xLl1rnypgxlhUHD/YxEWVYLImiD3A3kAu8C3wC3BHD86YBjYLk8hPQFbg03zbLgPbABBE5\nEGgMLI4tdOfiQxVmzdrZpDQ1+BpzyCFWaK9TJ+uULjc39UyfbgcsAs88Y3c0hT4XqkukWBJFB1W9\nFbg1b4GIXIgljUKparaI9MESSxrwkqrOEZHewfrngfuBV0RkFiDAraq6pmSH4lzpySu0l1eFNbLQ\nXv/+VoU1KQvthWnbNhv916KFZcgbb7Rs6co8sVafKBuIfKOqrfItm66qCZlNJCMjQzMzMxOxa1fG\n5RXaGzXKRkdHFtrr1MkK7f3f/yU6ygTYscM6XAYNst56H1WdkoLzdkZJnlvoFYWIdAA6AnVF5PGI\nVTWwZijnUpoqzJ+/s0kpZQvthenbb62I33ffwUUX2Rvkyp1oTU+rgNnAVmBOxPLfgNvCDMq5sGRn\nw8SJO5uUIgvt/fOf1qSUMoX2wpSdbeMgHn7Y6okMHw4XXpjoqFyCFJooVPVb4NtgpPTWOMbkXKnK\nK7Q3apQ1LUUW2uvXz0ZFH3xw0a9TrqSlwezZ8Je/wGOP2UhBV27F0pldV0QeAJoAfwyzVNXDQ4vK\nuT20ePHOJqUyVWgvTL/9ZlcR1123s4hfpUqJjsolgVgSxStAf+BR4Exs7IMPenNJJa/QXl6TUmSh\nvZtusiallC+0F6ZPPrEifsuXwxFH2BgJTxIuEEui2EtVPxGRR1V1EfBPEckE7go5NueKlJMDt95q\nA4RXr95ZaK9XL7tyKBOF9sK0dq21vw0ZYgli4kQ47rhER+WSTCyJYpuIVAAWBWMgfsLqMjmXUKrQ\nt6+N+broIvspk4X2wvTww/Dmm1aj6Z//9CJ+rkCxJIobgb2x0h0PAPsCV4YZlHOxeOwxSxL9+tnv\nLkYrVtiVRLNmlhwuvdQG0TlXiCLH3avqFFX9TVWXqerlqnousDT80Jwr3NChNslPly42FszFQNXm\niWjSBHr0sMfVq3uScEWKmihE5BgROV9EagePm4rIEGBKXKJzrgBjx8Jf/wonngivvuplhmKyZAmc\ncYYNnmve3Jqbyv1gERerQv/EROQ/wBtAd+BjEbkXm5NiBuC3xrqEmD3bbnFt1Ajef9+b1GMyfbo1\nM02ZAgMHWqY93P+EXeyi9VGcB7RQ1d9FZH9sEqKj8mascy7esrLgzDOt/tJHH/kYsCJt3WqZtEUL\nu931xht9ZKErkWgX7VtV9XcAVV0HLPAk4RJl40ab52HjRhtd7RMdRrFjh5W4bdwY1q2ze4Yff9yT\nhCuxaFcUh4pIXilxwebL/qO0uKp64RcXF9u3W5mhefMsSbRsmeiIklhmJlx1FcycaT39XsTPlYJo\niaJzvsfPhBmIcwXJzbX+1y++sDFhp5+e6IiSVHY23HGH3Sd84IHw3ntw/vmJjsqVEdGKAn4ez0Cc\nK8idd8Ibb8ADD8Dllyc6miSWlmY106+80u4X3m+/REfkyhC/sdAlreeegwcftH7Y229PdDRJ6Ndf\n4frrrVa6CLzzDrz4oicJV+piGZntXNyNGGFFTDt1stHXfst/Ph9+aBn055/t1teGDb2InwtNzFcU\nIlIlzECcyzNpEnTtChkZNgK7on+d2WnNGrjsMpuXtUYNm5avV69ER+XKuCIThYi0EZFZwA/B4xYi\n8nTokblyacECu4qoW9dKhu+9d6IjSjKPPAJvvQX33GPzV7dtm+iIXDkQyxXFU8A5wFoAVZ0BnBJm\nUK58WrnSBtSJ2Ix0BxyQ6IiSxM8/w6xZ9vs//2kJ4t57bZo+5+IglkRRQVV/zLcsJ4xgXPm1ebNN\nSbpiBYwebU3u5Z4qDB68exG/o45KdGSunIklUSwXkTaAikiaiPQFFoQclytHsrPhkkvsi/KwYd6a\nAthcrqedBn/7m40wfOst79F3CRNLN+HfseanesBK4LNgmXN7TBWuuQY++MDq1Z17bqIjSgKZmVYa\nt2JFeOEF6NnTS+S6hIolUWSratfQI3Hl0gMP2K3/d9wBvXsnOpoE+/13qFbNriCuucam70tPT3RU\nzsXU9DRNRD4Ukb+KSLGmQBWRjiIyX0QWishthWxzsoh8JyJzRGRccV7fpbZXXoG77rIR1/37Jzqa\nBNq+He67z0p/r11rVxKPPupJwiWNWGa4OwzoD7QGZonI+yJS5BWGiKQBzwJnAk2AbiLSJN82+wHP\nAeeqalPg4uIfgktFY8ZY8/tpp1l/bbltfp86FVq3truYTjwx0dE4V6CYGj5V9WtVvR5oBfyKTWhU\nlDbAQlVdrKrbgWHYHBeRLgXeVdVlwX5WxRy5S1nffgudO9vNPMOHQ+XKiY4oAbKz4aaboF07WL/e\nBo288QbUqpXoyJzbTSwD7vYRke4iMgqYCqwGjovhtetikx3lyQqWRTocqCkiX4rIdBH5SyEx9BKR\nTBHJXL16dQy7dsnqxx9tXomaNa0KRY0aiY4oQdLSrEbT3/4Gc+bYvcHOJalYOrNnA6OAh1V1Qgj7\nbw20B6oBk0Rksqrucvutqg4CBgFkZGRoKcfg4mTdOhtQt3UrfPaZjb4uVzZutHK4ffvaQJF33vH6\nJC4lxPIpPVRVSzL7yU9A5JRa6cGySFnAWlXdDGwWkfFAC3ycRpmzdatNj7BokfVPNG2a6IjibPRo\nu61rxQq7q6lhQ08SLmUU+kkVkcdU9R/AcBHZ7Vt8DDPcTQMaiUgDLEF0xfokIo0AnhGRikBloC0w\noBjxuxSQm2t3Nk2YYAPqTjop0RHF0erVcMMNVt3wqKNsQqFjjkl0VM4VS7SvNG8F/5ZoZjtVzRaR\nPsAnQBrwkqrOEZHewfrnVXWeiHwMzARygcGqOrsk+3PJ66abrJXl0UdtBHa58uijdvD33Qe33VZO\ne+5dqhPV6E3+ItJHVZ8palm8ZGRkaGZmZiJ27UpgwADo18++VA8YUE5ug83Ksg6Z5s1h0ybrwS93\nbW0u2YjIdFXNKMlzY7k99soCll1Vkp258uXtty1JdO5sUzmX+SSRm2slN5o0gSuusPok++zjScKl\nvGh9FJdg/QoNROTdiFXVgQ1hB+ZS2/jx1i9x/PHw2mt2N2iZ9sMPdqvruHHQvj0MGlQOMqMrL6L1\nUUzF5qBIx0ZY5/kN+DbMoFxqmzsXzjsPDj0URo608kVlWmYm/PnPNj/E4MFw5ZWeJFyZUmiiUNUl\nwBKsWqxzMfn5ZxsrUbUqfPQR7L9/oiMKUWQRv+uvt46YP/0p0VE5V+oK7aPIK9AnIutFZF3Ez3oR\nWRe/EF2q+PVXG3W9bp2VDa9fP9ERhWTbNpuKtFEjm8O6YkV46CFPEq7Mitb0lDfdae14BOJS2/bt\ncNFFMHu2JYlWrRIdUUgmT4arrrL2tcsu83kiXLlQ6Kc8YjT2wUCaquYA7YCrAZ/y3v1B1fpxP/3U\n5pbo0CHREYUgO9tu4TruOLt0+uAD66Uv021rzplYvg69j02DehjwMtAIeDPUqFxKuftuGDLExpRd\ncUWiowlJWhosXWplOObMsTY258qJWBJFrqruAC4EnlbVG9m9Cqwrp154wSYd6tnTJiEqUzZssMTw\nww92F9P//gfPPVeOS9668iqWRJEtIhcDlwOjg2WVwgvJpYrRo23GzrPOsvmuy9QdoSNG2MC5wYNt\nUAiUg8EgzhUs1pHZp2BlxhcHRf6GhhuWS3ZTp1rdpqOPhrfeKkOFUFeutAM7/3w44ACYMsU6r50r\nx2KZCnU2cD2QKSJHAMtV9YHQI3NJa+FCm2fnwAOtT3effRIdUSl6/HF4/3144AGYNs2mKXWunCvy\ne6CI/Bl4DSsVLsD/icjlqvpV2MG55LN6tQ2oy82Fjz+2ZJHyli+3wR8tWlhHS48ecOSRiY7KuaQR\nS9PTAOAsVT1eVY8DzgaeDDcsl4y2bIFOnaw46siRcPjhiY5oD+XmWud0kybWvJRXxM+ThHO7iCVR\nVFbVuXkPVHUeNsmQK0dycqBbN+ubePNNG06Q0hYsgJNPhmuvhXbtbM6IMtUb71zpiaUL8hsReR54\nPXjcHS8KWK6ownXX2VXEM8/ABRckOqI9NG2aFfGrVg1eesmamjxJOFeoWK4oegOLgVuCn8XY6GxX\nTjz0kN3+esst9gU8ZW3ebP+2agU33mhlOK64wpOEc0WIOsOdiBwFHAbMUdUf4hZVFD7DXXy9/rrN\nK9Gtm/2ekqWNtm6F+++HV16BGTOgtpcvc+VPKDPcicgdWPmO7sCnIlLQTHeuDPv8c5ta4ZRT4OWX\nUzRJfP21Dfb497/h9NN90JxzJRDtT7870FxVLwaOAf4en5BcMpgxw/oiGjeGd9+1OXlSSna2zQ9x\nwgl2u9bHH9sVRc2aiY7MuZQTLVFsU9XNAKq6uohtXRmyfLmV5ahRAz78EPbbL9ERlUBaGvz0k3Wq\nzJ5dRkvaOhcf0e56OjRirmwBDoucO1tVLww1MpcQGzbYgLpNm2DiRDj44ERHVAzr18Ott8LNN9uk\nQm+95U1NzpWCaImic77Hz4QZiEu8bdusxNGCBdZSc9RRiY6oGN59164eVq+2cRGNGnmScK6URJsz\n+/N4BuISKzfXhhOMGwdvvAGnnproiGL0yy/Qpw8MH25zV3/4oXVeO+dKTaj9DiLSUUTmi8hCEbkt\nynbHiEjb/nBMAAAZ+klEQVS2iFwUZjyucLfeCsOG2ZiJSy9NdDTFMGCA1Tv/979t2LgnCedKXWjF\noUUkDXgWOB3IAqaJyMjIciAR2z0EjAkrFhfdU0/Bo49ay83NNyc6mhgsXWr9EUcfbdPrXXml3Z7l\nnAtFzFcUIlLcGyTbAAtVdbGqbgeGAecVsN11wHBgVTFf35WCd9+Fvn2tb+LJJ5N8kHJuLjz9NDRr\nZpN0q8Lee3uScC5kRSYKEWkjIrOAH4LHLUTk6Rheuy6wPOJxFvmmUBWRusAFwMAiYuglIpkikrl6\n9eoYdu1i8dVX0L07HHusFfpL6r7fefOsPtP119u/w4cneVZzruyI5YriKeAcYC2Aqs7AZrwrDU8A\nt6pqbrSNVHWQqmaoakadOnVKadfl2/ffw7nn2u2vI0dafbykNXWqdVR//z0MGWId1occkuionCs3\nYumjqKCqP8qu395yYnjeT0DkXfjpwbJIGcCw4LVrA2eJSLaqvh/D67sS+uUXGytRsaLdBpu0pY82\nbbL5IVq3ts6T664rIzMlOZdaYrmiWC4ibQAVkTQR6QssiOF504BGItJARCoDXYGRkRuoagNVra+q\n9YF3gGs8SYTrt9/g7LNh1SqbxvTQQxMdUQG2boXbb7exEKtXW5tY//6eJJxLkFiuKP6ONT/VA1YC\nnxFD3SdVzRaRPsAnQBrwkqrOEZHewfrnSxy1K5EdO6BLF6vjNHIkZJSojmTIJk602eYWLLC7mSpV\nSnREzpV7RSYKVV2FXQ0Um6p+CHyYb1mBCUJVe5RkHy42qtC7tzU1vfii1XJKKtnZdvvVs89C/frw\n6adw2mmJjso5RwyJQkReBHabtEJVe4USkQvFfffZZG533w09eyY6mgJUrAgrV1rF1/79rW/COZcU\nYml6+izi96rY7azLC9nWJaH//tcSRY8ecO+9iY4mwtq1Nm3eLbfYWIi33krRSS+cK9tiaXp6K/Kx\niLwGTAwtIleqPvoIrr4azjgDBg1KkqEHqvDOO1ajad06GxfRuLEnCeeSVEn+MhsAfvtJCpg+HS6+\nGJo3t/NyUvQLr1gBF15oveoHH2xB9uiR6Kicc1HE0kexnp19FBWAdUChBf5ccliyxG6DrV3bboOt\nXj3REQWeeMJ61B9+GG680fomnHNJLepfqdhIuBbsHCiXq6q7dWy75LJ2LXTsCNu3w9ixcNBBCQ5o\nyRIr4teq1c7e9EaNEhyUcy5WUZuegqTwoarmBD+eJJLc779baY4ff7SxEkcemcBgcnKs0mCzZtCr\n184ifp4knEspsfRRfCciXuQ/BeTkWJG/SZNs8qETTkhgMHPnWgB9+8JJJ8F77yVJT7pzrrgKbXoS\nkYqqmg0cjc0lsQjYjM2fraraKk4xuhio2jn5vfesG6Bz/ols42nKFDjxROsYef11mwnJk4RzKSta\nH8VUoBVwbpxicXvgscfgmWegXz8bs5YQv/1mySEjw6bM69MHDjggQcE450pLtEQhAKq6KE6xuBIa\nOtSKq3bpAo88koAAtmyxkXxDhsCsWVCnDvzrXwkIxDkXhmiJoo6I9Ctspao+HkI8rpjGjoW//tVa\nel59NQFj1saNs7uYFi60WecqV45zAM65sEVLFGnAPgRXFi75zJ4NF1xgNxG9/z5UrRrHnWdn2/wQ\nzz9vtco//xxOPTWOATjn4iVaolihqt5+kKSysmzyob32sjIdNWvGOYCKFW1sRL9+cP/9FohzrkyK\n1lDhVxJJauNGKxO+caPNClqvXpx2vGaNlduYP98ev/mm9aJ7knCuTIuWKNrHLQoXs+3brVTSvHkw\nfLhNJR06VRg2zEbvvfEGTJ5sy72In3PlQqF/6aq6Lp6BuKLl5tqkb198YXNLnH56HHb6009w/vnQ\nrRs0aADffGO95865csO/EqaQO++0L/QPPACXXx6nnT79tM029+ijNuT7qKPitGPnXLKQVCvflJGR\noZmZmYkOI+6eew6uvdbmlhg4MOSBzosWwYYN0Lo1bN5spcEbNgxxh865sInIdFXNKMlz/YoiBYwY\nYXeidupko69DSxI5OfD443bVcPXVO4v4eZJwrlzzRJHkJk2Crl2tKsbQoSFO3zB7Nhx3HPzjH3Da\naZadvD6Tc47Y5sx2CbJggV1F1K0Lo0bZl/tQTJli05Huu69lo0su8SThnPuDX1EkqZUrbUCdiE0I\nF0ptvV9/tX8zMqynfN48u3zxJOGci+CJIglt3gznnGN9yKNHh9BFsGUL3HST1f5YtQrS0uCee2ze\nVOecyyfURCEiHUVkvogsFJHd5tkWke4iMlNEZonI1yLSIsx4UkF2trX8fPMNvPUWtG1byjsYO9Y6\nqx97zApFxbVAlHMuFYWWKEQkDXgWOBNoAnQTkSb5NlsCnKSqRwH3A4PCiicVqMI118AHH9jtsJ06\nleKLZ2fbnUynnmojqseOtYJ+NWqU4k6cc2VRmFcUbYCFqrpYVbcDw4DzIjdQ1a9VdX3wcDKQHmI8\nSe+BB+DFF+GOO+ycXqoqVrTiUDffDDNmwMknl/IOnHNlVZiJoi6wPOJxVrCsMFcBH4UYT1J75RW4\n6y4bcd2/fym96KpV8Je/wPff2+M334SHH/Yifs65YkmKzmwROQVLFLcWsr6XiGSKSObq1avjG1wc\njBljc/6cdhoMHlwKNx2pWq2PJk2smN+0abbci/g550ogzDPHT8DBEY/Tg2W7EJHmwGDgPFVdW9AL\nqeogVc1Q1Yw6deqEEmyifPstdO5s5/Thw0thgrjly61z47LL7K6m776LY2Eo51xZFGaimAY0EpEG\nIlIZ6AqMjNxAROoB7wKXq+qCEGNJSj/+aPNK1Kxp80qUSr/ys89aR/UTT8DEiZaBnHNuD4Q2MltV\ns0WkD/AJNq3qS6o6R0R6B+ufB+4GagHPibW3ZJe0aFWqWbfOBtRt3QqffWajr0vshx+sozojA+6+\n23rCGzQotVidc+WbV49NgK1b4YwzrHLGmDFw0kklfKHsbBgwwJJDs2YwdaqPqnbOFcirx6aQ3Fzr\nMpgwAYYM2YMkMXMmtGsHt9wCHTp4ET/nXGi8KGCc3XQTvPOOzQN0ySUlfJEpU+CEE2D//eHtt+Gi\nizxJOOdC41cUcTRggP3ccAP061eCF9i40f7NyLBBF3PnwsUXe5JwzoXKE0WcvP22JYfOna3MUrHO\n7Zs3Q9++uxbxu/tuqFUrtHidcy6PNz3Fwfjx1i9x/PHw2mt2no/ZZ5/ZaLylS20u1GrVwgrTOecK\n5FcUIZs7F847Dw49FEaOLMZ5PjsbrroKTj/dRuGNH2/zoFavHmq8zjmXnyeKEP38s42VqFoVPvrI\n+p5jVrGi3Ud72202uvrPfw4tTueci8YTRUh+/dVGXa9bZ2XD69eP4UkrV0L37jbTHMDrr8N//uPN\nTc65hPJEEYLt2+2O1dmz7VbYVq2KeIKqdV40aWJPmD7dlvvdTM65JOCJopSpWt/zp5/a3BIdOhTx\nhGXL4OyzrRx448bWzHTZZXGJ1TnnYuGJopTdfbeNuL7vPrjiihieMHCgdVQ/9ZQN1z7yyNBjdM65\n4vBaT6XohRegd2/o2RMGDYrScjR/vg2ea9MGtmyxsRExdWI451zJeK2nJDB6tM13fdZZdpFQYJLY\nsQMefBBatLAxEao225wnCedcEvNEUQqmTrW6TUcfDW+9ZXe27ubbb6FtW7j9duuTGDnSO6udcynB\nR2bvoYUL4Zxz4MAD7TbYffYpYKNJk2wcRO3adldT585xj9M550rKryj2wOrVNqAuNxc+/tiSxS42\nbLB/27a13u25cz1JOOdSjieKEtqyxaamzsqCUaPg8MMjVm7aBNdfb0X8Vq6EChXgzjuLOTTbOeeS\ngzc9lUBODnTrZn0T775r8wf9YcwY6NXLxkf06QN7752wOJ1zrjR4oigmVbjuOuuLfuYZOP/8YMWO\nHZYgXnnFBs5NmGDlYp1zLsV501MxPfSQ3f56yy12h+sfKlWy2h133mmjqz1JOOfKCE8UxfD663Z3\n66WXWq0+fvkFuna1Tuq8Dfr3t3KxzjlXRniiiNHnn8OVV8Ipp8BL/1UqDHnFym28/75dQYCPi3DO\nlUneRxGDGTPgggus6+H9J5ZS5dxeVvXvhBNg8GBb4ZzbzY4dO8jKymLr1q2JDqXcqFq1Kunp6VSq\nVKnUXtMTRRGWL7eyHDVq2ORDNZ4bZAPonn3WCjtV8Isy5wqTlZVF9erVqV+/PuJX3KFTVdauXUtW\nVhYNGjQotdf1s1wUGzbYgLqDNn7Plw9PJT0duOsumDPHCjt5knAuqq1bt1KrVi1PEnEiItSqVavU\nr+BCPdOJSEcRmS8iC0XktgLWi4g8FayfKSJFTfETN9u2Qedzd3DBvH8zdXsLGj7Rx+6NrVYN6tVL\ndHjOpQxPEvEVxvsdWqIQkTTgWeBMoAnQTUSa5NvsTKBR8NMLGBhWPMWRmwv3nvsNj05ow/25d1Lh\ngvNt+LV/4J1z5VCYVxRtgIWqulhVtwPDgPPybXMeMETNZGA/ETkoxJhi8tzlk7h/TBsaVf8F3nvP\nSsLuVsjJOZcq3n//fUSE77///o9lX375Jeecc84u2/Xo0YN33nkHsI742267jUaNGtGqVSvatWvH\nRx99tMex/Oc//6Fhw4Y0btyYTz75pNDtnn76aY444giaNm3KLbfc8sfymTNn0q5dO5o2bcpRRx0V\nlxsFwuzMrgssj3icBbSNYZu6wIrIjUSkF3bFQb2Qm31ycmD8trYcfGx/zv3gati/Zqj7c86Fb+jQ\noZxwwgkMHTqU++67L6bn3HXXXaxYsYLZs2dTpUoVVq5cybhx4/Yojrlz5zJs2DDmzJnDzz//zGmn\nncaCBQtIS0vbZbuxY8cyYsQIZsyYQZUqVVi1ahUA2dnZXHbZZbz22mu0aNGCtWvXlurdTYVJibue\nVHUQMAhshrsw95WWBsPeroDqbUha0ds752LTt+/OIUelpWVLeOKJ6Nts2rSJiRMnMnbsWDp16hRT\notiyZQsvvvgiS5YsoUqVKgAceOCBdOnSZY/iHTFiBF27dqVKlSo0aNCAhg0bMnXqVNrtUjAOBg4c\nyG233fbHvg844AAAxowZQ/PmzWnRogUAtWrV2qN4YhVm09NPwMERj9ODZcXdJu4qVLCE4ZxLfSNG\njKBjx44cfvjh1KpVi+nTpxf5nIULF1KvXj1q1KhR5LY33ngjLVu23O3nwQcf3G3bn376iYMP3nnK\nS09P56efdj/lLViwgAkTJtC2bVtOOukkpk2b9sdyEaFDhw60atWKhx9+uMj4SkOYVxTTgEYi0gA7\n+XcFLs23zUigj4gMw5qlNqrqCpxzZU5R3/zDMnToUG644QYAunbtytChQ2ndunWhdwcV966hAQMG\n7HGM+WVnZ7Nu3TomT57MtGnT6NKlC4sXLyY7O5uJEycybdo09tprL9q3b0/r1q1p3759qccQKbRE\noarZItIH+ARIA15S1Tki0jtY/zzwIXAWsBDYAlwRVjzOufJn3bp1fPHFF8yaNQsRIScnBxHhkUce\noVatWqxfv3637WvXrk3Dhg1ZtmwZv/76a5FXFTfeeCNjx47dbXnXrl257bZdRwXUrVuX5ct3dstm\nZWVRt27d3Z6bnp7OhRdeiIjQpk0bKlSowJo1a0hPT+fEE0+kdu3aAJx11ll88803oScKVDWlflq3\nbq3OudQwd+7chO7/hRde0F69eu2y7MQTT9Rx48bp1q1btX79+n/EuHTpUq1Xr55u2LBBVVVvvvlm\n7dGjh27btk1VVVetWqVvv/32HsUze/Zsbd68uW7dulUXL16sDRo00Ozs7N22GzhwoN51112qqjp/\n/nxNT0/X3NxcXbdunR599NG6efNm3bFjh7Zv315Hjx692/MLet+BTC3hedeHFjvnyqyhQ4dywQUX\n7LKsc+fODB06lCpVqvD6669zxRVX0LJlSy666CIGDx7MvvvuC0D//v2pU6cOTZo0oVmzZpxzzjkx\n9VlE07RpU7p06UKTJk3o2LEjzz777B93PPXs2ZPMzEwArrzyShYvXkyzZs3o2rUrr776KiJCzZo1\n6devH8cccwwtW7akVatWnH322XsUUyzEEk3qyMjI0Lw30zmX3ObNm8eRRx6Z6DDKnYLedxGZrqoZ\nJXk9v6JwzjkXlScK55xzUXmicM6FKtWat1NdGO+3JwrnXGiqVq3K2rVrPVnEiQbzUVQt5emYU6KE\nh3MuNaWnp5OVlcXq1asTHUq5kTfDXWnyROGcC02lSpVKdaY1lxje9OSccy4qTxTOOeei8kThnHMu\nqpQbmS0iq4Ef47Cr2sCaOOwnHsrSsUDZOp6ydCxQto6nLB0LQGNVrV6SJ6ZcZ7aq1onHfkQks6TD\n3ZNNWToWKFvHU5aOBcrW8ZSlYwE7npI+15uenHPOReWJwjnnXFSeKAo3KNEBlKKydCxQto6nLB0L\nlK3jKUvHAntwPCnXme2ccy6+/IrCOedcVJ4onHPORVXuE4WIdBSR+SKyUERuK2C9iMhTwfqZItIq\nEXHGIoZj6R4cwywR+VpEWiQizlgVdTwR2x0jItkiclE84yuOWI5FRE4Wke9EZI6IjIt3jMURw2dt\nXxEZJSIzguO5IhFxxkJEXhKRVSIyu5D1qXQOKOpYSnYOKOlk22XhB0gDFgGHApWBGUCTfNucBXwE\nCHAsMCXRce/BsRwH1Ax+PzNZjyXW44nY7gvgQ+CiRMe9B/83+wFzgXrB4wMSHfceHs8dwEPB73WA\ndUDlRMdeyPGcCLQCZheyPiXOATEeS4nOAeX9iqINsFBVF6vqdmAYcF6+bc4DhqiZDOwnIgfFO9AY\nFHksqvq1qq4PHk4GSrcWcemK5f8G4DpgOLAqnsEVUyzHcinwrqouA1DVVD8eBaqLiAD7YIkiO75h\nxkZVx2PxFSZVzgFFHktJzwHlPVHUBZZHPM4KlhV3m2RQ3Divwr4lJasij0dE6gIXAAPjGFdJxPJ/\nczhQU0S+FJHpIvKXuEVXfLEczzPAkcDPwCzgBlXNjU94pS5VzgHFFfM5IOVKeLg9JyKnYB+SExId\nyx56ArhVVXPti2tKqwi0BtoD1YBJIjJZVRckNqwS6wB8B5wKHAZ8KiITVPXXxIbloPjngPKeKH4C\nDo54nB4sK+42ySCmOEWkOTAYOFNV18YptpKI5XgygGFBkqgNnCUi2ar6fnxCjFksx5IFrFXVzcBm\nERkPtACSMVHEcjxXAA+qNYYvFJElwBHA1PiEWKpS5RwQk5KcA8p709M0oJGINBCRykBXYGS+bUYC\nfwnufDgW2KiqK+IdaAyKPBYRqQe8C1yeAt9UizweVW2gqvVVtT7wDnBNEiYJiO1zNgI4QUQqishe\nQFtgXpzjjFUsx7MMuzpCRA4EGgOL4xpl6UmVc0CRSnoOKNdXFKqaLSJ9gE+wOzleUtU5ItI7WP88\ndjfNWcBCYAv2TSnpxHgsdwO1gOeCb+HZmqTVMWM8npQQy7Go6jwR+RiYCeQCg1W1wFscEy3G/5v7\ngVdEZBZ2t9CtqpqUJbtFZChwMlBbRLKAe4BKkFrnAIjpWEp0DvASHs4556Iq701PzjnniuCJwjnn\nXFSeKJxzzkXlicI551xUniicc85F5YnCJR0RyQmqqOb91I+ybf3CKmUWc59fBtVQZ4jIVyLSuASv\n0Tuv9IaI9BCRP0WsGywiTUo5zmki0jKG5/QNxmY4VyKeKFwy+l1VW0b8LI3TfruragvgVeCR4j45\nGA8xJHjYA/hTxLqeqjq3VKLcGedzxBZnX8AThSsxTxQuJQRXDhNE5Jvg57gCtmkqIlODq5CZItIo\nWH5ZxPIXRCStiN2NBxoGz20vIt8G9ftfEpEqwfIHRWRusJ9Hg2X3ishNYvNiZABvBPusFlwJZARX\nHX+c3IMrj2dKGOckIorTichAEckUm//hvmDZ9VjCGisiY4NlZ4jIpOB9/J+I7FPEflw554nCJaNq\nEc1O7wXLVgGnq2or4BLgqQKe1xt4UlVbYifqLBE5Mtj++GB5DtC9iP13AmaJSFXgFeASVT0Kq2Tw\ndxGphVWtbaqqzYH+kU9W1XeATOybf0tV/T1i9fDguXkuwepVlSTOjkBkyZI7g1G2zYGTRKS5qj6F\nVXA9RVVPEZHawD+B04L3MhPoV8R+XDlXrkt4uKT1e3CyjFQJeCZok8/BynLnNwm4U0TSsbkdfhCR\n9lhV1mlByYJqFD53xRsi8juwFJvnojGwJKImzqvAtVgJ7a3Af0VkNDA61gNT1dUisjioGfQDVijv\nq+B1ixNnZWyeh8j3qYuI9ML+rg8CmmAlQSIdGyz/KthPZex9c65QnihcqrgRWIlVVK2Anah3oapv\nisgU4GzgQxG5Gqsz9Kqq3h7DPrqrambeAxHZv6CNglpHbbCidxcBfbBy2rEaBnQBvgfeU1UVO2vH\nHCcwHeufeBq4UEQaADcBx6jqehF5BahawHMF+FRVuxUjXlfOedOTSxX7AiuCyW8ux4rR7UJEDgUW\nB80tI7AmmM+Bi0TkgGCb/UXkkBj3OR+oLyINg8eXA+OCNv19VfVDLIEVNO/wb0D1Ql73PWzWtG5Y\n0qC4cQblu+8CjhWRI4AawGZgo1i11jMLiWUycHzeMYnI3iJS0NWZc3/wROFSxXPAX0VkBtZcs7mA\nbboAs0XkO6AZNn3lXKxNfoyIzAQ+xZpliqSqW7FKof8Tq4KaCzyPnXRHB683kYLb+F8Bns/rzM73\nuuuxEuKHqOrUYFmx4wz6Ph4DblbVGcC32FXKm1hzVp5BwMciMlZVV2N3ZA0N9jMJez+dK5RXj3XO\nOReVX1E455yLyhOFc865qDxROOeci8oThXPOuag8UTjnnIvKE4VzzrmoPFE455yL6v8BCDC0UW3x\nzwMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a3d2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.2571906505112202)\n",
      "('o_avg_amount_nqh', 0.05293962375404173)\n",
      "('o_num_nqh', 0.048433644399586029)\n",
      "('o_days_use', 0.029276618583851104)\n",
      "('o_htl_min_amount', 0.024823152486932044)\n",
      "('o_create_time', 0.024378699237101079)\n",
      "('o_num', 0.024078684425454112)\n",
      "('o_contract_amount', 0.024060515308977019)\n",
      "('o_avg_amount', 0.023997582335807028)\n",
      "('o_min_creationdate', 0.023194673446371154)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5890  4236\n",
      "1       2660  7186\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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SpdZ33LYtPPaYncMbNSrB/uQdO+Cf/7RxEdWrw/vvw4UXeod1nHiicM4Vy2+/2a2rI0bA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xfaada58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.26105092394585988)\n",
      "('o_avg_amount_nqh', 0.057604947362947613)\n",
      "('o_num_nqh', 0.047823879761829967)\n",
      "('o_create_time', 0.02798037804439928)\n",
      "('o_htl_max_amount', 0.025626548127613818)\n",
      "('o_days_use', 0.023737812006858913)\n",
      "('o_num', 0.023554189097168842)\n",
      "('o_htl_min_amount', 0.023301787260913379)\n",
      "('o_min_creationdate', 0.022511521900449062)\n",
      "('o_num_180', 0.021910293923934992)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5914  4212\n",
      "1       2638  7208\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.66     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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QbcPkyTatXj3o3t2OGk4/vYxLFnJz4cEHrS6idm14+2245BK/YB0jniiccyUW6sAaSg7Z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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f72c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25455833869836064)\n",
      "('o_avg_amount_nqh', 0.048880788860896911)\n",
      "('o_num_nqh', 0.048367958868464546)\n",
      "('o_days_use', 0.026226812870388763)\n",
      "('o_create_time', 0.024346137775159902)\n",
      "('o_avg_amount', 0.024344766589779548)\n",
      "('o_htl_min_amount', 0.024216773056789005)\n",
      "('o_contract_amount', 0.022824932065734025)\n",
      "('o_flt_max_amount', 0.022708196683457662)\n",
      "('o_num', 0.022574669956806986)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5839  4287\n",
      "1       2593  7253\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.74      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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C9VFMBlZjdyu9ELJ8I/BzNINyye33360sR40aNmNnjRrxjijK0tPhuOOgShUr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\nsDxROOecC8sThXPOubA8UTjnnAvr/wFei9zo5MN2AgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f75da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.26039679115993136)\n",
      "('o_avg_amount_nqh', 0.053279518319301895)\n",
      "('o_num_nqh', 0.046122481079501947)\n",
      "('o_htl_min_amount', 0.025884218730320346)\n",
      "('o_avg_amount', 0.025778036741967256)\n",
      "('o_create_time', 0.02567359900650365)\n",
      "('o_min_creationdate', 0.023728186703133987)\n",
      "('o_htl_avg_amount', 0.023567845408818188)\n",
      "('o_days_use', 0.022449094804032232)\n",
      "('o_flt_max_amount', 0.021302843501534621)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5805  4321\n",
      "1       2649  7197\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.57      0.62     10126\n",
      "          1       0.62      0.73      0.67      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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uruPGWenbAQNK0Z16V9KFu0cxGViH9VbqG7J8C/BzNINyyW/XLrjySpg2DYYP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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xfaadeb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25886896048257729)\n",
      "('o_avg_amount_nqh', 0.043026781053802789)\n",
      "('o_num_nqh', 0.042778342825634204)\n",
      "('o_create_time', 0.026399479495763184)\n",
      "('o_min_creationdate', 0.025666044358544002)\n",
      "('o_days_use', 0.025035056197064628)\n",
      "('o_avg_amount', 0.023930199674400736)\n",
      "('o_htl_max_amount_nqh', 0.02355037188440413)\n",
      "('o_htl_min_amount', 0.022701455938501019)\n",
      "('o_max_creationdate', 0.022357404803041162)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5923  4203\n",
      "1       2627  7219\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.66     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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1tuHEE2Mc21BalSpZNVPv3lbtVKdOAk/mPFE454qVlwdff72rl1LcYxtKY/NmG039l79A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\nH0HgsU+E8Cd2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xfdee2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25808266362588639)\n",
      "('o_avg_amount_nqh', 0.049607297302122676)\n",
      "('o_num_nqh', 0.046153009324083907)\n",
      "('o_min_creationdate', 0.026423088714463173)\n",
      "('o_days_use', 0.025099257552789085)\n",
      "('o_create_time', 0.024608248598794447)\n",
      "('o_max_creationdate', 0.024487358885681855)\n",
      "('o_htl_max_amount', 0.024142463408129554)\n",
      "('o_htl_min_amount', 0.023594872554409192)\n",
      "('o_max_orderdate', 0.023405376700972591)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5861  4265\n",
      "1       2589  7257\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.74      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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D9FFHwbPPluGZsf/4w5YibdrU1rCuWBHuu8+ThCuzolU9HR18L28dGl0JzJpl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\nwjnnXFSeKJxzzkX1/4SKqKFdBHD1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb94d630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25558281169289032)\n",
      "('o_avg_amount_nqh', 0.051482754289118249)\n",
      "('o_num_nqh', 0.047984718448795531)\n",
      "('o_avg_amount', 0.026111227402382576)\n",
      "('o_days_use', 0.025870629484149341)\n",
      "('o_min_creationdate', 0.025256065246493938)\n",
      "('o_htl_min_amount', 0.024702008709731414)\n",
      "('o_create_time', 0.024340799026296184)\n",
      "('o_max_creationdate', 0.023450717526635054)\n",
      "('o_max_orderdate', 0.023240946238700291)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5966  4160\n",
      "1       2609  7237\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.70      0.59      0.64     10126\n",
      "          1       0.63      0.74      0.68      9846\n",
      "\n",
      "avg / total       0.67      0.66      0.66     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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X0aNtQY1+/cpx9y5X1kRroxiPrUGRjo2wzrMB+CmeQbnU9PXXdq889ljo27cc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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x19232898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25686885642312024)\n",
      "('o_avg_amount_nqh', 0.052602726005430346)\n",
      "('o_num_nqh', 0.045842920658905051)\n",
      "('o_create_time', 0.02682493652462925)\n",
      "('o_flt_avg_amount', 0.023857195710059675)\n",
      "('o_days_use', 0.023507099407866251)\n",
      "('o_flt_min_amount', 0.023406410660371066)\n",
      "('o_htl_min_amount', 0.023261079724500852)\n",
      "('o_avg_amount', 0.022692823006742788)\n",
      "('o_min_creationdate', 0.022638089369381775)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5923  4203\n",
      "1       2587  7259\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.70      0.58      0.64     10126\n",
      "          1       0.63      0.74      0.68      9846\n",
      "\n",
      "avg / total       0.67      0.66      0.66     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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4YNjKTz+Fvn1tfES/frDnnkmL0znnSoMnihIKlQz/4Qf4+GObgfTP\nFX37wksv2cC5r76CY45JZqjOOVcqvOmpBFThqqvgs89g+PACJcMrVYJt26yJacYMTxLOuTLDE0UJ\nDB5sc0rccQdccgnwyy/Qs6fdpAYr4jdoEFStmtQ4nXOuNHmiiNIbb9jFQu/ecM/dak1Mhx8OH3xg\nVxDg4yKcc2WS36OIwoQJdgXRqROMuH0J0rWvtT8de6zNStSkSbJDdC4lbd++nZycHLZu3ZrsUMqN\nqlWrUrduXSpVqlRqr+mJohi7lAx/ZLgNoBsyBK680rq+OucKlZOTQ/Xq1WnQoAHiV9xxp6qsXbuW\nnJwcGjZsWGqv62e5CFatsm6wTfmBzwdPsWEQd9wBc+dapVdPEs5FtHXrVmrWrOlJIkFEhJo1a5b6\nFVxcz3Qi0lVE5ovIQhEZWMh6EZGngvWzRKRtPOMpid9/h7+evp1eP9/PxM2tqTO4n3V7qlYN6tdP\ndnjOpQ1PEokVj/c7bk1PIpIBDAFOAXKAqSLyoarOC9usG9A4+OkADA3+Taq8PLjjtO94ZuplHMEM\n6NHD5ovwD7xzrhyK5xVFe2Chqi5S1W3AKODMAtucCbyiZhKwr4gcWPCFEm1I7295YFx7Dqv+i92Y\nePNNOOCAZIflnIvRBx98gIjwww8//Lnsyy+/5PTTT99puz59+vDOO+8AdiN+4MCBNG7cmLZt29Kx\nY0c+/vjj3Y5l8ODBNGrUiCZNmjB27Ngit3v66adp2rQpzZs35+abb/5z+axZs+jYsSPNmzenZcuW\nCekoEM+b2XWApWGPc9j1aqGwbeoAK8I3EpG+QF+A+nFu9tmxAyb80YGDOw7ijDFXwH414ro/51z8\njRw5kmOPPZaRI0dyzz33RPWcO+64gxUrVjBnzhyqVKnCypUrGT9+/G7FMW/ePEaNGsXcuXNZvnw5\nJ598MgsWLCCjwMyW48aNY/To0cycOZMqVaqwatUqAHJzc+nduzevvvoqrVu3Zu3ataXau6koadHr\nSVWHA8MBMjMzNZ77ysiAN9+ugOpAxGclda7UXH99/pCj0tKmjZX3j2Tz5s1MnDiRcePGccYZZ0SV\nKH777Teef/55Fi9eTJUqVQA44IAD6NGjx27FO3r0aHr27EmVKlVo2LAhjRo1YsqUKXTs2HGn7YYO\nHcrAgQP/3Pf+++8PwKeffkqrVq1o3bo1ADVr1tyteKIVz6anZUC9sMd1g2Ul3SbhKlTwqaudKytG\njx5N165dOeyww6hZsybTpk0r9jkLFy6kfv367L333sVu279/f9q0abPLzwMPPLDLtsuWLaNevfxT\nXt26dVm2bNdT3oIFC/jqq6/o0KEDxx9/PFOnTv1zuYjQpUsX2rZty0MPPVRsfKUhnlcUU4HGItIQ\nO/n3BC4ssM2HQD8RGYU1S/2qqitwzpU5xX3zj5eRI0fyj3/8A4CePXsycuRI2rVrV2TvoJL2Gnr8\n8cd3O8aCcnNzWbduHZMmTWLq1Kn06NGDRYsWkZuby8SJE5k6dSp77LEHnTt3pl27dnTu3LnUYwgX\nt0Shqrki0g8YC2QAL6rqXBG5Mlg/DMgCugMLgd+AS+IVj3Ou/Fm3bh1ffPEFs2fPRkTYsWMHIsLD\nDz9MzZo1Wb9+/S7b16pVi0aNGvHzzz+zcePGYq8q+vfvz7hx43ZZ3rNnTwYO3HlUQJ06dVi6NP+2\nbE5ODnXq1NnluXXr1uXss89GRGjfvj0VKlRgzZo11K1bl06dOlGrVi0AunfvznfffRf3RIGqptVP\nu3bt1DmXHubNm5fU/T/33HPat2/fnZZ16tRJx48fr1u3btUGDRr8GeOSJUu0fv36umHDBlVVvemm\nm7RPnz76xx9/qKrqqlWr9K233tqteObMmaOtWrXSrVu36qJFi7Rhw4aam5u7y3ZDhw7VO+64Q1VV\n58+fr3Xr1tW8vDxdt26dHnHEEbplyxbdvn27du7cWceMGbPL8wt734FsjfG860OLnXNl1siRI/nr\nX/+607JzzjmHkSNHUqVKFV577TUuueQS2rRpw7nnnsuIESPYZ599ABg0aBC1a9emWbNmtGjRgtNP\nPz2qexaRNG/enB49etCsWTO6du3KkCFD/uzxdPnll5OdnQ3ApZdeyqJFi2jRogU9e/bk5ZdfRkSo\nUaMGN9xwA0ceeSRt2rShbdu2nHbaabsVUzTEEk36yMzM1NCb6ZxLbd9//z2HH354ssModwp730Vk\nmqpmxvJ6fkXhnHMuIk8UzjnnIvJE4ZyLq3Rr3k538Xi/PVE45+KmatWqrF271pNFgmgwH0XVUp6O\nOS1KeDjn0lPdunXJyclh9erVyQ6l3AjNcFeaPFE45+KmUqVKpTrTmksOb3pyzjkXkScK55xzEXmi\ncM45F1HajcwWkdXA/xKwq1rAmgTsJxHK0rFA2TqesnQsULaOpywdC0ATVa0eyxPT7ma2qtZOxH5E\nJDvW4e6ppiwdC5St4ylLxwJl63jK0rGAHU+sz/WmJ+eccxF5onDOOReRJ4qiDU92AKWoLB0LlK3j\nKUvHAmXreMrSscBuHE/a3cx2zjmXWH5F4ZxzLiJPFM455yIq94lCRLqKyHwRWSgiAwtZLyLyVLB+\nloi0TUac0YjiWHoFxzBbRL4RkdbJiDNaxR1P2HZHikiuiJybyPhKIppjEZETRGSGiMwVkfGJjrEk\novis7SMi/xGRmcHxXJKMOKMhIi+KyCoRmVPE+nQ6BxR3LLGdA2KdbLss/AAZwE/AIUBlYCbQrMA2\n3YGPAQGOAiYnO+7dOJajgRrB791S9ViiPZ6w7b4AsoBzkx33bvzf7AvMA+oHj/dPdty7eTy3Ag8G\nv9cG1gGVkx17EcfTCWgLzClifVqcA6I8lpjOAeX9iqI9sFBVF6nqNmAUcGaBbc4EXlEzCdhXRA5M\ndKBRKPZYVPUbVV0fPJwElG4t4tIVzf8NwLXAu8CqRAZXQtEcy4XAe6r6M4CqpvvxKFBdRATYC0sU\nuYkNMzqqOgGLryjpcg4o9lhiPQeU90RRB1ga9jgnWFbSbVJBSeO8DPuWlKqKPR4RqQP8FRiawLhi\nEc3/zWFADRH5UkSmicjFCYuu5KI5nmeAw4HlwGzgH6qal5jwSl26nANKKupzQNqV8HC7T0ROxD4k\nxyY7lt30BDBAVfPsi2taqwi0AzoD1YBvRWSSqi5Iblgx6wLMAE4CDgU+E5GvVHVjcsNyUPJzQHlP\nFMuAemGP6wbLSrpNKogqThFpBYwAuqnq2gTFFotojicTGBUkiVpAdxHJVdUPEhNi1KI5lhxgrapu\nAbaIyASgNZCKiSKa47kEeECtMXyhiCwGmgJTEhNiqUqXc0BUYjkHlPemp6lAYxFpKCKVgZ7AhwW2\n+RC4OOj5cBTwq6quSHSgUSj2WESkPvAecFEafFMt9nhUtaGqNlDVBsA7wNUpmCQgus/ZaOBYEako\nInsAHYDvExxntKI5np+xqyNE5ACgCbAooVGWnnQ5BxQr1nNAub6iUNVcEekHjMV6cryoqnNF5Mpg\n/TCsN013YCHwG/ZNKeVEeSx3AjWBZ4Nv4bmaotUxozyetBDNsajq9yLyCTALyANGqGqhXRyTLcr/\nm/uAl0RkNtZbaICqpmTJbhEZCZwA1BKRHOAuoBKk1zkAojqWmM4BXsLDOedcROW96ck551wxPFE4\n55yLyBOFc865iDxROOeci8gThXPOuYg8UbiUIyI7giqqoZ8GEbZtUFSlzBLu88ugGupMEflaRJrE\n8BpXhkpviEgfETkobN0IEWlWynFOFZE2UTzn+mBshnMx8UThUtHvqtom7GdJgvbbS1VbAy8DD5f0\nycF4iFeCh32Ag8LWXa6q80olyvw4nyW6OK8HPFG4mHmicGkhuHL4SkS+C36OLmSb5iIyJbgKmSUi\njYPlvcOWPyciGcXsbgLQKHhuZxGZHtTvf1FEqgTLHxCRecF+HgmW3S0iN4rNi5EJvB7ss1pwJZAZ\nXHX8eXIPrjyeiTHObwkrTiciQ0UkW2z+h3uCZddhCWuciIwLlp0qIt8G7+PbIrJXMftx5ZwnCpeK\nqoU1O70fLFsFnKKqbYHzgacKed6VwJOq2gY7UeeIyOHB9scEy3cAvYrZ/xnAbBGpCrwEnK+qLbFK\nBleJSE2sam1zVW0FDAp/sqq+A2Rj3/zbqOrvYavfDZ4bcj5WryqWOLsC4SVLbgtG2bYCjheRVqr6\nFFbB9URVPVFEagG3AycH72U2cEMx+3HlXLku4eFS1u/ByTJcJeCZoE1+B1aWu6BvgdtEpC42t8OP\nItIZq8o6NShZUI2i5654XUR+B5Zg81w0ARaH1cR5GbgGK6G9FXhBRMYAY6I9MFVdLSKLgppBP2KF\n8r4OXrckcVbG5nkIf596iEhf7O/6QKAZVhIk3FHB8q+D/VTG3jfniuSJwqWL/sBKrKJqBexEvRNV\nfUNEJgOnAVkicgVWZ+hlVb0lin30UtXs0AMR2a+wjYJaR+2xonfnAv2wctrRGgX0AH4A3ldVFTtr\nRx0nMA27P/E0cLaINARuBI5U1fUi8hJQtZDnCvCZql5QgnhdOedNTy5d7AOsCCa/uQgrRrcTETkE\nWBQ0t4zGmmA+B84Vkf2DbfYTkYOj3Od8oIGINAoeXwSMD9r091HVLCyBFTbv8CagehGv+z42a9oF\nWNKgpHEG5bvvAI4SkabA3sAW4Fexaq3diohlEnBM6JhEZE8RKezqzLk/eaJw6eJZ4G8iMhNrrtlS\nyDY9gDkiMgNogU1fOQ9rk/9URGYBn2HNMsVS1a1YpdC3xaqg5gHDsJPumOD1JlJ4G/9LwLDQzewC\nr7seKyF+sKpOCZaVOM7g3sejwE2qOhOYjl2lvIE1Z4UMBz4RkXGquhrrkTUy2M+32PvpXJG8eqxz\nzrmI/IrCOedcRJ4onHPOReSJwjnnXESeKJxzzkXkicI551xEniicc85F5InCOedcRP8Pcpieqe9C\nMkcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b773978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25739494372073041)\n",
      "('o_avg_amount_nqh', 0.055728501952088748)\n",
      "('o_num_nqh', 0.046664569373778046)\n",
      "('o_htl_min_amount', 0.02748995864871177)\n",
      "('o_create_time', 0.026586296583283611)\n",
      "('o_max_creationdate', 0.024764411915752425)\n",
      "('o_min_creationdate', 0.02473201439061452)\n",
      "('o_avg_amount', 0.024046419526185012)\n",
      "('o_days_use', 0.023090854676743908)\n",
      "('o_max_orderdate', 0.022692126489937667)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5967  4159\n",
      "1       2693  7153\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.59      0.64     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.66     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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VgDXxDsylrkcfhRdegNtus/bbcmHuXOvqOnasjSIst127XFkUrY1iIrYGRTo2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\n51xUniicc85F9f/etOVETRT+PwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe8890b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.2642449011039672)\n",
      "('o_avg_amount_nqh', 0.052864655219553823)\n",
      "('o_num_nqh', 0.047464502969800863)\n",
      "('o_create_time', 0.027558347648268883)\n",
      "('o_avg_amount', 0.027285729130462736)\n",
      "('o_min_creationdate', 0.024042868425085198)\n",
      "('o_days_use', 0.023852933168428816)\n",
      "('o_max_orderdate', 0.022907222503435805)\n",
      "('o_max_creationdate', 0.022586879417999639)\n",
      "('o_contract_amount', 0.022162818381386711)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5880  4246\n",
      "1       2619  7227\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.58      0.63     10126\n",
      "          1       0.63      0.73      0.68      9846\n",
      "\n",
      "avg / total       0.66      0.66      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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trhMmQIcOMHiwF/FzpUa4axRTsDkoUrER1jn+Bn6MZlAuud1/v93ZdO+9cHl+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\nnHPOheWJwjnnXFj/D32cqfZZ7NpnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x125a5cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "('o_min_orderdate', 0.25714223110172957)\n",
      "('o_num_nqh', 0.046741600922588986)\n",
      "('o_avg_amount_nqh', 0.045705826733472552)\n",
      "('o_create_time', 0.031040556629591622)\n",
      "('o_days_use', 0.025214543971195744)\n",
      "('o_htl_min_amount', 0.023870991831127071)\n",
      "('o_htl_max_amount_nqh', 0.022991365313784859)\n",
      "('o_contract_amount', 0.022903657460415814)\n",
      "('o_avg_amount', 0.022242173633014749)\n",
      "('o_max_creationdate', 0.022238121951436225)\n",
      "preds      0     1\n",
      "actual            \n",
      "0       5928  4198\n",
      "1       2696  7150\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.69      0.59      0.63     10126\n",
      "          1       0.63      0.73      0.67      9846\n",
      "\n",
      "avg / total       0.66      0.65      0.65     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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Wls0C+9131ibx73/HO6IYWLDAunNNmGCDQ4YPL4Et9q64CtdGMQ1bg6I2NsI6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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x153c7e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "i = 1\n",
    "vote_y = test_X.copy()\n",
    "for (X,y) in batch:\n",
    "    clf = DecisionTreeClassifier()\n",
    "    clf.fit(X, y)\n",
    "    print('------------------')\n",
    "    for feature in sorted(zip(list(X.columns), clf.feature_importances_),key=itemgetter(1),reverse=True)[:10]:\n",
    "        print(feature)\n",
    "    preds = clf.predict(test_X)\n",
    "    profile_common.score(test_y,preds)\n",
    "    pred_i = 'pred_' + str(i)\n",
    "    vote_y[pred_i] = preds\n",
    "    i = i + 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "preds      0     1\n",
      "actual            \n",
      "0       6331  3795\n",
      "1       1622  8224\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.80      0.63      0.70     10126\n",
      "          1       0.68      0.84      0.75      9846\n",
      "\n",
      "avg / total       0.74      0.73      0.73     19972\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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5rKtXh/vv9yTh0la0pqei6U4bJSIQF54tW6wrbLVqMGKEF/yLauJEm5Bj1iwb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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x152c6cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pred_c = list(filter(lambda x:x.startswith('pred_'),vote_y.columns.tolist()))\n",
    "\n",
    "vote_y['vote_sum'] = (vote_y[pred_c]).apply(lambda x:x.sum(),axis=1)\n",
    "\n",
    "vote_y['vote'] = vote_y['vote_sum'] >= (len(pred_c) + 1)/2\n",
    "\n",
    "vote_y = vote_y.replace({True:1,False:0})\n",
    "\n",
    "profile_common.score(test_y,vote_y['vote'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
